Topic/Matter Intersection

Topic:"Residential Programs" in M12932

Matter: Nova Scotia Power Inc. (NSPI) - Time-Varying Pricing Pilot Program - 2024/25 (Year Four) and 2025/26 (Year Five) Evaluation Reports
171 passages 6 documents

Residential Programs across all matters →

N-1Evaluation Report 124 passages
Definitions p. pp. 17-25
Definitions The hourly net system requirement (MW) less all wind generation (MW) Cohorts are numbered based on the Phase they enrolled in the TVP program. For example, Cohort 4 refers to participants recruited in Phase 4 (i.e. the fourth W...

AI summary The text defines key terms and concepts used in the proceeding, including definitions related to energy consumption, rate classes, and income brackets. It also outlines cohort numbering and customer classification within the TVP program.

Preamble p. pp. 29-93
Since the first report, modifications to the evaluation metrics and the rates themselves have been made with the support of expert consultants and stakeholders. These modifications have refined the evaluation to provide accurate load and b...

AI summary The TVP Pilot has evolved with modifications to evaluation metrics and rates, leading to more accurate load and billing effects. Residential and commercial participants have seen increased enrollment, with statistically significant load reductions observed. The MURB TOU Tariff evaluation shows small but significant load shifts during evening peaks, while no demand charge changes were noted despite its removal.

Residential Findings p. p. 30
Residential Findings In total, 5,616 TOU and 2,642 CPP residential customers participated in the TVP program in Phase 4. Of these, 4,938 TOU and 2,310 CPP customers were included in the regression when counting only those who meet the crit...

AI summary In Phase 4 of the TVP program, 5,616 TOU and 2,642 CPP residential customers participated, with 4,938 TOU and 2,310 CPP customers included in the regression analysis. Participants achieved significant electricity load reductions during peak periods and events, consistent with Phase 3 findings.

Section 319 p. p. 30
nergy consumption (27.7 ± 37 kWh per year) while still saving on their annual electricity bill ($153 per year) in addition to any fuel savings from non-electric heating sources they may have reduced. Residential CPP participants reduced lo...

AI summary Residential CPP participants reduced load during peak periods and achieved energy savings, with those using electric heating showing the highest load reduction. Electrified participants had significant load reduction during peak hours but no significant change in electricity bills, though they may have saved on other fuels. Load reduction was lower for those with non-electric heating.

3 Residential TOU Tariff Impacts p. pp. 47-48
3 Residential TOU Tariff Impacts This section presents the analysis results for load and economic impacts of Residential TOU tariffs for all cohorts in Phase 4. The goal of the residential TOU pilot is to encourage customers to shift their...

AI summary This section analyzes the load and economic impacts of residential Time-of-Use (TOU) tariffs in Phase 4. The goal is to encourage customers to shift electricity usage from peak to off-peak periods, reducing energy bills and system costs. Cohort 4 has significantly more participants than previous cohorts, and electric heating systems are more common among participants.

3.1 Load & Usage Impacts p. p. 48
3.1 Load & Usage Impacts This section presents and discusses the electrical load impact from the residential TOU Tariff.

AI summary This section discusses the electrical load impact resulting from the residential Time-of-Use (TOU) Tariff, highlighting how it affects residential electricity usage patterns.

Section 346 p. pp. 52-54
[Figure 15](#page-52-1) illustrates the average load reduction achieved by TOU participants according to the region of premises in Nova Scotia. While no significant difference in load reduction during morning hours is observed between part...

AI summary The text discusses load reduction data from TOU participants in Nova Scotia, noting higher evening load reductions in the Halifax area and higher absolute load reductions among higher-income participants, though no significant overall difference between regions or income levels.

Table 13: Snapback Effect for Residential TOU Participants p. p. 56
Table 13: Snapback Effect for Residential TOU Participants Parameters Load Reduction a (kW) Avg. Significance (p_Value≤0.05) Morning Snapback 0.013 ± 0.004 ✓ Evening Snapback -0.014 ± 0.005 ✓ Overall Snapback -0.002 ± 0.003 X a Positive an...

AI summary Table 13 presents the snapback effect for residential TOU participants, showing load reduction values and their statistical significance. The morning snapback shows a slight reduction, while the evening snapback shows a slight increase in electricity usage, with the overall snapback being statistically insignificant.

Parameters Cohort 1 Cohort 2 Cohort 3 Cohort 4 All p. p. 59
Parameters Cohort 1 Cohort 2 Cohort 3 Cohort 4 All Winter, Non-Holiday Weekdays Avg. Usage Reduction 1.71 ± 2.70 ± 1.64 ± 1.10 ± 1.39 ± a (kWh/day) 0.21 0.31 0.14 0.08 0.06 Avg. Usage – Residential TOU Participants, Pre-Pilot 39.4 50.4 43....

AI summary The text presents a table comparing average usage reduction across different cohorts during winter weekdays, weekends/holidays, and non-winter periods, highlighting the effectiveness of time-of-use (TOU) pricing programs. It indicates statistically significant reductions in energy usage across all cohorts, with varying magnitudes.

Section 356 p. pp. 59-60
[Table 16](#page-60-0) presents changes in daily electricity usage levels by space heating. During non-holiday weekdays in Winter, TOU participants with electrified space heating exhibit insignificant change in their daily usage level. Not...

AI summary Table 16 shows variations in daily electricity usage levels among residential TOU participants based on their space heating type. During non-holiday weekdays, electrified heating systems show no significant change, while de-electrified and steady electric heating systems show reductions. TOU participants with steady non-electric heating systems show mixed changes, but overall savings are statistically significant and amount to 300 kWh annually on average.

Table 18: Change in Daily Electricity Bill for All Cohorts of Residential TOU Participants p. p. 62
Table 18: Change in Daily Electricity Bill for All Cohorts of Residential TOU Participants Parameters Winter Non- Holiday Weekdays Winter Holiday/ Weekends Winter Overall Non-Winter Annual Average Avg. Bill Savings ($/day) a -2.05 ± 0.01 0...

AI summary Table 18 presents the change in daily electricity bills for residential TOU participants across different time periods and cohorts. It shows average bill savings, relative savings percentages, and significance levels, highlighting mixed results with some periods showing savings and others showing increases.

- p. pp. 62-63
- & lt;sup>8 TOU rates were 32.12 ¢/kWh during peak hours and 16.931 ¢/kWh during off-peak hours. Table 19: Change in Daily Electricity Bill by Space Heating Type for All Cohorts of Residential TOU Participants Parameters El ec De tr ifi e...

AI summary The document presents data on the impact of Time-of-Use (TOU) rates on residential electricity bills, showing average bill savings and increases across different heating types during winter, non-winter, and annual periods. The results indicate varying levels of savings, with significant statistical significance across all categories.

Morning Events Evenin p. p. 66
Morning Events Evening Events Parameters Cohort 1 Cohort 2 Cohort 3 Cohort 4 All Cohort 1 Cohort 2 Cohort 3 Cohort 4 All Avg. Load Reductiona (kW) 0.68 ± 0.10 1.22 ± 0.16 0.62 ± 0.06 0.60 ± 0.03 0.61± 0.03 0.85 ± 0.10 1.60 ± 0.60 0.88 ± 0....

AI summary Table 22 presents data on load reduction during Critical Peak Pricing (CPP) events for residential participants across different cohorts. The table includes average load reduction in kW, percentage reduction relative to pre-pilot average load, and significance levels, indicating statistically significant results across all cohorts.

Change in Load by Space Heating Classes During Peak Events p. pp. 66-67
Change in Load by Space Heating Classes During Peak Events [Table 23](#page-67-0) summarizes the average load reductions during morning and evening events for space heating classes of all cohorts combined in Phase 4. It is important to not...

AI summary Table 23 summarizes average load reductions during morning and evening peak events for space heating classes in Phase 4. The analysis compares event and reference days during the 2024/25 Winter, noting that changes in space heating type between baseline and pilot periods do not directly affect load reduction results in the DiD analysis.

4.1.3 Change in Load during Highest ANL Hours p. pp. 72-73
4.1.3 Change in Load during Highest ANL Hours [Figure 29](#page-73-0) illustrates the distribution of Top 20, 50 and 88 highest ANL hours for residential CPP participants during weekdays and weekends as well as across CPP events. The major...

AI summary The text discusses the distribution of highest ANL (Adjusted Net Load) hours for residential CPP (Critical Peak Pricing) participants during weekdays and weekends, showing that most high load hours occur on weekdays. Load reductions during these periods are statistically significant, with slightly higher reductions during CPP peak periods.

Section 383 p. p. 74
The change in daily usage levels was evaluated through two analyses. For the first analysis, the daily usage reduction during event days was estimated, when at least one CPP event occurred, compared to reference days. For the second analys...

AI summary The document evaluates the impact of Critical Peak Pricing (CPP) on daily electricity usage through two analyses. The first analysis found a statistically significant overall reduction of 1.7 kWh in daily usage during CPP events, though not all cohorts showed significant results. The second analysis compared usage during winter and non-winter days during the treatment period to the pre-pilot period, with no significant differences observed by heating class.

Section 387 p. pp. 75-76
[Table 29](#page-76-1) presents changes in daily electricity usage level by space heating for all cohorts of residential CPP participants during pilot period compared to pre-pilot period. During non-holiday weekdays in Winter, CPP particip...

AI summary Table 29 shows changes in daily electricity usage levels by space heating type for residential CPP participants during the pilot period compared to the pre-pilot period. Electrified participants saw a 13% increase, while de-electrified and steady electric participants saw decreases. Steady non-electric participants showed no significant change.

4.2 Economic Impacts p. p. 77
4.2 Economic Impacts This section presents and discusses the impact of residential CPP tariffs on the electricity bill as well as price elasticity.

AI summary This section discusses the economic impacts of residential CPP tariffs on electricity bills and price elasticity, analyzing how these tariffs influence consumer behavior and financial outcomes.

Section 395 p. pp. 78-79
The analysis reveals that the type of space heating has a significant effect on the bill savings for the CPP participants. The steady electric participants achieved the highest bill savings compared to steady non-electric. While CPP partic...

AI summary The analysis shows that the type of space heating significantly impacts bill savings for CPP participants. Steady electric heating systems achieved the highest daily and annual bill savings, while electrified customers did not experience statistically significant annual savings. Non-Winter days saw the most savings across all heating types.

Parameters De- Electrified Electrified Steady Electric Steady Non-Electric p. p. 79
Parameters De- Electrified Electrified Steady Electric Steady Non-Electric Winter Avg. Bill Savings ($/day) a 0.36 ± 0.04 -0.47 ± 0.03 $0.56 \pm 0.02$ 0.14 ± 0.01 Avg. Bill – Residential CPP, Pre- Pilot ($/day) 6.3 8.0 10.3 3.4 Relative Av...

AI summary The table presents average bill savings and significance levels for different electrification scenarios (De-Electrified, Electrified, Steady Electric, and Steady Non-Electric) across winter, non-winter, and annual periods, highlighting statistical significance and relative savings percentages.

Customer Type Period Applicable Tariff p. pp. 112-113
Customer Type Period Applicable Tariff Control Pre-Pilot General Tariff Control Pilot General Tariff Treatment Pre-Pilot General Tariff Treatment Pilot MURB TOU Table 56: Tariffs Used for Evaluating the Impact of MURB TOU on Electricity Bi...

AI summary The document presents a comparison of electricity bills for MURB TOU participants before and during the pilot period, showing an average daily bill saving of approximately $12, though not statistically significant. The MURB TOU rate was designed to save during non-Winter seasons.

Table 70: Heating Classification Definition p. p. 133
Table 70: Heating Classification Definition Heating Classification Pre-Pilot Pilot Period Steady Electric Electric Electric Steady Non-Electric Non-Electric Non-Electric Electrified Non-Electric Electric De-electrified Electric Non-Electri...

AI summary Table 70 defines heating classifications for customers during the pre-pilot and pilot periods, distinguishing between electric and non-electric categories. The classification ensures that control groups are composed of customers from the same classification during selection.

Section 514 p. p. 134
Treatment and control customer participation in E1 programs (Home Energy Assessment, Green Heat, Appliance Retirement, Efficient Product Installation, Small Business Energy Solutions, Business Energy Rebates, and Custom) are balanced using...

AI summary The text discusses the process for balancing treatment and control customer participation in E1 programs to mitigate confounding effects on TVP results. It mentions the use of energy savings data from 2021 to 2024 and the allocation of program savings using a specific formula. The text also references specific reports and matter numbers related to the efficiency evaluations.

III.3.1.1 Load & Usage Impact Regression Model p. p. 139
es Treatment)_{it}. EcoShift_i + \varepsilon_{it}$$ (8) Where: β 6 is the additional impact due to Eco Shift for TVP customers enrolled in Eco Shift program ui is the random intercept. [Figure](#page-139-0) 49 illustrates the diagram for b...

AI summary This section presents a regression model analyzing the load and usage impact of the Eco Shift program for TVP customers, focusing on residential participants in the pilot groups. A figure visualizes the binary variable matrix for the analysis.

Attachment VI: Control Group Selection Non-Load Variables p. pp. 159-160
Attachment VI: Control Group Selection Non-Load Variables Metric Rate Treatment Control Population CPP $ 88,813 $ 85,986 Median Income28 TOU $ 88,496 $ 86,853 $ 85,143 Average Residents per CPP 2.372 2.344 Household28 TOU 2.371 2.355 2.384...

AI summary This attachment presents data on non-load variables for control group selection, comparing metrics such as median income, average residents per household, year built, and living space between treatment and control groups. It also includes demographic data on house styles and their distribution across groups.

Review of Marketing and Communication Efforts p. pp. 169-170
Review of Marketing and Communication Efforts In its Decision and Order on the Year Three Report (M11823), the Board provided: Narrative Research conducted a customer survey, which highlighted residential customers' dissatisfaction regardi...

AI summary The document discusses NS Power's efforts to improve communication with residential and commercial customers regarding time-varying pricing (TVP) programs. It highlights the use of a customer survey, a purpose-built estimation tool for residential inquiries, and a coordinated approach with commercial customers involving relationship management and data analytics. The Board emphasized the importance of clear communication to manage customer expectations and ensure the success of the TVP pilot.

Background p. p. 175
Background • For the past few years, NSP has commissioned Narrative Research to collect feedback from participants of two rate plans: Time-of-Use and Critical Peak Pricing. The purpose of this survey was to better understand customer exper...

AI summary NSP has worked with Narrative Research to gather customer feedback on the Time-of-Use and Critical Peak Pricing rate plans over the past few years. The survey aimed to understand customer experiences and any changes since the last iteration of the pilot.

Methodology p. p. 177
Methodology Mode Online survey Audience NSP TVP Pilot Participants (Years 1-4) 2,103 completes Time of Use: 1,332 Critical Peak: 771 Data Collection Dates April 10 - 16, 2025 Response Rate 27.0% (7,801 invitations sent) Average Completion...

AI summary The methodology section describes an online survey conducted among NSP TVP Pilot Participants over four years, with 2,103 completes and a 27% response rate. The survey was conducted between April 10-16, 2025, and took an average of 23 minutes to complete.

Three Takeaways p. pp. 179-180
Three Takeaways Time-Varying Pricing Rate Pilot participant satisfaction remains high. Overall participant satisfaction across both ToU and CPP is high, with just one in ten not being satisfied. Satisfaction with the Critical Peak Pricing...

AI summary Participant satisfaction in Time-Varying Pricing (TVP) pilots remains high, though understanding of billing is declining. Changes to the pilots may cause some participants to leave, even with additional incentives. The findings highlight challenges in communication and potential impacts of policy adjustments on participant retention.

Objectives Key Findings p. pp. 180-181
Objectives Key Findings Measure residential customer opinions and experiences of the pilot - Overall Satsifaction: Two thirds of TVP participants remain satisfied (scores of 7-10) while just one in ten give low scores of 1-4. Participant s...

AI summary The analysis of the TVP and CPP pilot programs shows that two-thirds of participants remain satisfied, though satisfaction varies by region and income level. Billing clarity and communication effectiveness are key areas for improvement. Participants are changing energy behaviors, but only 30% have installed energy-efficient products since the pilot began.

Satisfaction with Time-Varying Pricing Rate Pilot p. pp. 184-185
Satisfaction with Time-Varying Pricing Rate Pilot Participant satisfaction with CPP has increased in 2025 while ToU satisfaction has remained relatively stable, with only a slight numerical decline. Overall satisfaction with the Time-Varyi...

AI summary Participant satisfaction with the Critical Peak Pricing (CPP) rate pilot has increased in 2025, while Time-of-Use (ToU) satisfaction has remained stable but with a slight decline. Long-term participants show higher satisfaction compared to recent joiners, and users of the MyEnergy Insights platform report higher satisfaction levels with both programs.

Satisfaction with Time-Varying Pricing Rate Pilot - Region p. pp. 185-186
Satisfaction with Time-Varying Pricing Rate Pilot - Region Overall satisfaction with the TVP Rate Pilots appears to be somewhat lower in Western Nova Scotia compared to Metro. Variation in results are driven mostly by ToU participants whil...

AI summary Overall satisfaction with the Time-Varying Pricing (TVP) Rate Pilots is lower in Western Nova Scotia compared to Metro. The difference is mainly driven by Time-of-Use (ToU) participants, while Critical Peak Pricing (CPP) participant satisfaction is more consistent across the province.

Satisfaction with Time-Varying Pricing Rate Pilot – Household Income p. pp. 186-187
Satisfaction with Time-Varying Pricing Rate Pilot – Household Income Satisfaction with TVP pilots are relatively consistent across income brackets, though there an indication of a slight correlation between household income and satisfactio...

AI summary Satisfaction with Time-Varying Pricing (TVP) pilots shows slight correlation with household income, with higher-income participants more likely to provide top satisfaction scores. However, mean scores remain consistent across income brackets, and increases in satisfaction with income are minimal due to small sample sizes.

Satisfaction with Time-Varying Pricing Rate Pilot – Primary Heat Source Type p. pp. 187-188
Satisfaction with Time-Varying Pricing Rate Pilot – Primary Heat Source Type Satisfaction among CPP and ToU participants does not vary significantly between those relying on electricity as their primary heat source and those who are not. L...

AI summary Satisfaction with the Time-Varying Pricing Rate Pilot does not significantly differ between participants using electricity as their primary heat source and those who do not. Participants on electric heat may be finding ways to save by adjusting their usage during peak times.

Satisfaction with Time-Varying Pricing Rate Pilot – Household Income & Heat Source p. pp. 188-190
Satisfaction with Time-Varying Pricing Rate Pilot – Household Income & Heat Source Satisfaction with TVP rate pilots, overall, appears to improve with household income across non-electric participants. Reviewing satisfaction results across...

AI summary Satisfaction with Time-Varying Pricing (TVP) rate pilots improves with higher household income among non-electric participants. Lower-income participants on non-electric heat sources are less satisfied than those with higher incomes. Satisfaction is consistent across income levels for electric heat sources. The ToU process maintains high satisfaction, while CPP sees a decline in clarity of information provided.

Additional Information or Materials When Deciding to Enroll p. p. 190
Additional Information or Materials When Deciding to Enroll While most indicate satisfaction with the amount of information, there is a desire from some to have more information on rates and potential savings. Asked what additional informa...

AI summary Participants expressed mixed satisfaction with the information provided about the program. While most were satisfied, some desired more details on rates, savings, and billing. Many participants indicated they would have benefited from clearer information on potential financial implications and savings from participating in the program.

Most Helpful Communication p. pp. 193-194
Most Helpful Communication Reminders, emails, and time of day charts are viewed as the most helpful communication received by pilot participants. Asked about the most helpful communication they have received as part of the pilot, participa...

AI summary Participants in the pilot program found reminders, emails, and time-of-day charts to be the most helpful communication. Reminders for peak hours, emails, and clear explanations of rates and times were particularly valued. These communications helped participants manage their energy use effectively.

Contact with Customer Care Centre p. pp. 194-195
Contact with Customer Care Centre Among the minority of participants contacting customer care, there has been a decrease in CPP participants looking for program details and an increase in CPP inquiries about billing/savings. ToU participan...

AI summary The text discusses changes in customer inquiries to NSP's Customer Care Centre regarding Time-Varying Pricing (TVP) programs. There has been a decrease in inquiries about program details and an increase in questions about billing and savings, particularly among CPP participants. TOU participants continue to have inquiries about savings and billing.

Notification Methods for Peak Events p. pp. 197-198
Notification Methods for Peak Events Nearly all CPP participants received peak events notifications, with half leveraging text messages. Virtually all CPP participants continue to receive peak event notifications via email (94%; down 1 poi...

AI summary The document discusses notification methods for peak events among CPP participants, noting that nearly all receive notifications via email, with half using text messages. MyEnergy Insights users are more likely to receive text messages. Year 1 participants are less likely to use text messages, suggesting an opportunity for improvement.

Preferred Notification Method p. pp. 198-199
Preferred Notification Method Email and text are the preferred channels for receiving critical peak event notifications, though there is opportunity to promote text notifications to participants. Eight in ten CPP participants express a pre...

AI summary The document discusses the preferred notification method for critical peak events, highlighting that email is the most preferred (78%) followed by text messages (67%). However, only 47% of participants currently receive text alerts, indicating an opportunity for improvement. MyEnergy Insights users are more likely to prefer text messages.

Critical Peak Notification Improvement p. pp. 1-3
Critical Peak Notification Improvement Critical peak notifications could be improved by more advance notice, although most offer no suggestions for improving communication. When asked about how peak event notifications could be improved, a...

AI summary Participants in the Critical Peak Pricing program suggest that improving advance notice for critical peak events could enhance communication. Some also request clearer billing information about specific events and practical energy-saving tips. Most participants, however, feel no improvements are needed or are unsure.

When Time-of-Use Peak Events Can Be Called p. pp. 9-10
When Time-of-Use Peak Events Can Be Called This year marks a significant improvement in awareness of when peak hours are in effect, but improving awareness might lead to higher satisfaction since some participants think hours are in effect...

AI summary This document discusses the increasing awareness among Time-of-Use (ToU) participants regarding peak hours, noting that most correctly identify the period as November through March. However, some still believe peak events can occur in October, and there is a need for further education on specific times of day when peak hours are in effect.

Feedback on Proposed Changes to the Time-of-Use Pilot p. pp. 10-11
Feedback on Proposed Changes to the Time-of-Use Pilot ToU participants are very opposed to possible changes to the pilot, preferring peak periods continue to avoid weekends, holidays, and the April to October months. It is incredibly impor...

AI summary ToU participants strongly oppose changes to the Time-of-Use pilot, emphasizing the importance of maintaining peak periods only on weekdays, excluding holidays and the April to October months. Over half of participants rate this as extremely important, with consistent sentiment across all participation years.

Likelihood to Leave Time-of-Use Pilot p. pp. 11-12
Likelihood to Leave Time-of-Use Pilot One in three ToU participants would be at least somewhat likely to leave the ToU pilot should any changes occur, regardless of additional incentives offered. To gauge participant likelihood to leave th...

AI summary One in three Time-of-Use (ToU) participants would be at least somewhat likely to leave the ToU pilot if changes occur, regardless of additional incentives. Participants showed hesitation to changes, even with additional discounts, with 38% likely to leave if the monthly base fee increased, 34% if weekends were included, and 31% if non-winter periods were included.

Expected Return if Time-of-Use Includes Non-Winter Periods p. pp. 13-14
Expected Return if Time-of-Use Includes Non-Winter Periods ToU participants would expect higher year-round savings if ToU included non-winter periods. ToU participants would largely expect higher monthly savings all year round, including w...

AI summary ToU participants expect higher year-round savings if ToU includes non-winter periods. About one in ten expect higher savings in non-winter periods or are unsure. No significant differences in responses were found based on heat source or household income.

Recent Joiners Main Reason For Choosing Plan p. p. 17
Recent Joiners Main Reason For Choosing Plan Saving money dominates as the main reason for participating in a rate plan, distantly followed by non-monetary motivations. New participants were asked why they chose to join ToU or CPP. As expe...

AI summary The main reason for joining Time-of-Use (ToU) or Critical Peak Pricing (CPP) rate plans is to save money, with less than 10% of participants citing non-monetary motivations. Participants highlight the need to reduce electricity costs, particularly for seniors and retirees on fixed incomes.

"I use electricity in the summer due to electric air conditioners, so I am trying to reduce the cost of my electricity in the summer months primarily." – ToU Year 4 Participant p. p. 17
"I use electricity in the summer due to electric air conditioners, so I am trying to reduce the cost of my electricity in the summer months primarily." – ToU Year 4 Participant Time- of-Use Critica l Peak 2022 (n=428) 2023 (n=137) 2024 (n=...

AI summary A participant in the Time-of-Use (TOU) Year 4 program states that they use electricity primarily in the summer due to electric air conditioners and aim to reduce summer electricity costs. The table shows participation motivations across different years for Time-of-Use and Critical Peak Pricing programs, with 'Save money' being the most common reason.

Previous Joiners Main Reason For Continued Pilot Participation p. p. 18
Previous Joiners Main Reason For Continued Pilot Participation The primary reason for remaining on TVP pilots is also to save money, although fewer indicate this as a motivating factor than those in their first year of the pilot. Year 1, 2...

AI summary Participants in TVP pilots continue to participate mainly to save money, though fewer cite this as a motivation compared to their first year. Over time, participants find it harder to plan around peak periods. Quotes from participants highlight savings and flexibility in energy use as key benefits.

Reason for Choosing Plan (continued) p. p. 19
Reason for Choosing Plan (continued) While reasons for choosing their respective program remain similar, a decreasing number of CPP participants say the pilot fits their lifestyle. The top reasons why ToU participants chose their current p...

AI summary Participants in the Time-Varying Pricing (TVP) and Critical Peak Pricing (CPP) programs report varying reasons for their participation. TVP participants prefer the plan for its flexibility and better rates, while CPP participants mention ease of control and occasional adjustments to save money. Lifestyle and schedule alignment are also cited as factors.

"It seemed like the better option for us as we travel during the winter."– ToU Year 4 Participant p. p. 19
"It seemed like the better option for us as we travel during the winter."– ToU Year 4 Participant • Time- of-Use Critical Peak 2022 (n=428) 2023 (n=445) 2024 (n=346) 2025 (n=318) 2022 (n=174) 2023 (n=178) 2024 (n=154) 2025 (n=182) Fits my...

AI summary Customer feedback on Time-of-Use (TOU) and Critical Peak Pricing (CPP) programs shows varying levels of satisfaction over the years, with some participants finding TOU more suitable for their lifestyle during winter travel, while others express confusion or lack of awareness about alternative plans.

CPP and ToU participants are increasingly struggling to understand their bills and the impact of their participation in pilot programs. p. pp. 22-23
CPP and ToU participants are increasingly struggling to understand their bills and the impact of their participation in pilot programs. Findings show a continued downward trend across all statements related to bills for both ToU and CPP pa...

AI summary Participants in CPP and ToU programs are struggling to understand their bills and the impact of their participation in pilot programs. There has been a decline in agreement among participants that their bills are easy to understand and as expected, with CPP participants showing slightly better outcomes than ToU participants. Newer TVP participants also tend to lower overall scores due to limited experience with the plan.

Additional Comments on Billing p. p. 23
Additional Comments on Billing Participants are attentive to their bills, noting higher-than-normal prices, requesting savings comparisons, more details, or more time to review the data. Fewer than one-half of participants have any comment...

AI summary Participants are paying close attention to their bills under the new rate plan, with many noting higher-than-normal prices and requesting more detailed information, comparisons, and clearer explanations. CPP participants are less likely to provide feedback compared to ToU participants. Some customers express confusion about their bills and the lack of clarity on savings and usage breakdowns.

Participation in Efficiency One programs remains only moderate. p. pp. 30-31
Participation in Efficiency One programs remains only moderate. In 2025, the wording was adjusted to reframe the question to capture any previous participation in any of the Efficiency One program versus current participation. Despite the...

AI summary Participation in Efficiency One programs remains low, with fewer than half of participants reporting any involvement. The Home Energy Assessment is the most popular program, while Green Heat and Heat Pump Rebate Program see minimal participation. Adjustments to survey wording in 2025 did not significantly change participation trends, suggesting that TVP participants are less likely to engage with E1 programs.

Likelihood of Installing a Smart Thermostat p. pp. 31-32
Likelihood of Installing a Smart Thermostat There is a mixed likelihood of installing a smart thermostat after joining a Time-Varying Pricing Rate pilot program. Reports of participants being likely to install a smart thermostat continue t...

AI summary The likelihood of installing a smart thermostat among participants in a Time-Varying Pricing Rate pilot program is mixed, with a growing proportion of participants unlikely to install one. The decline in interest may be due to installation challenges, prior installations, or skepticism about smart thermostats.

Cost savings is the primary reasonsthat participants installed or are interested in installing a smart thermostat. p. pp. 32-33
Cost savings is the primary reasonsthat participants installed or are interested in installing a smart thermostat. The top reasons given by participants who currently have a smart thermostat installed are to save on electricity or heating...

AI summary Participants installed or are interested in installing smart thermostats primarily for cost savings and improved heating efficiency. The majority of those likely to install a smart thermostat cite saving on electricity or heating costs as their main motivation.

Few participants provide additional commentary regarding their respective rate plans. p. p. 34
Few participants provide additional commentary regarding their respective rate plans. Two-thirds of participants did not offer any additional feedback about the pricing plan. Those who gave comments primarily suggest better feedback and ex...

AI summary Most participants did not provide additional feedback on rate plans, while those who did expressed a need for clearer communication, better tracking of savings, and concerns about the frequency of critical peak pricing events. Some noted that energy usage decreased but bills remained unchanged.

Tactics and Schedule\ p. pp. 41-42
Tactics and Schedule\ - Email – October 22 – December 13 - Introduced Retargeting and Segmentation/Personalization - Paid Channels – October 21 – November 30, Extended until December 2 - Direct Mail Postcard - Digital Ads Social, Google/Bi...

AI summary The document outlines a marketing and engagement strategy for promoting Time-Varying Pricing (TVP) programs, including email campaigns, paid and owned media channels, internal communications, and earned media efforts. Tactics span from October to December, with a focus on segmentation, personalization, and customer onboarding.

Residential Recruitment p. p. 45
Residential Recruitment TOU (Rate 80, 81) CPP (Rate 70, 71) Residential Total Enrollment Target 7,000 3,500 10,500 Year 4 New Applications 4,703 2,487 7,416 Year 4 Accepted New Applications 4,137 1,973 6,136 Enrollment (As of January 9, 20...

AI summary The document provides a summary of residential recruitment under Time-Varying Pricing (TVP) programs, including enrollment targets, new applications, and accepted applications for TOU and CPP rates as of January 9, 2025.

SMB Recruitment p. p. 46
SMB Recruitment TOU (Rate 82, 83) CPP (Rate 72, 83) Commercial Total Enrollment Target 500 500 1,000 Year 4 New Applications 0 26 26 2% 2% Enrollment (As of January 9, 2025) 54 53 107 21% HIGHLIGHTS

AI summary The SMB Recruitment section outlines enrollment targets and progress for Time-of-Use (TOU) and Critical Peak Pricing (CPP) programs. As of January 9, 2025, only 54 and 53 participants were enrolled in TOU and CPP programs respectively, significantly below the 1,000 target. Only 26 new applications were received in Year 4, indicating a low level of engagement.

MURB Recruitment p. p. 47
MURB Recruitment MURB Rate Enrollment Target 10 Year 4 New Applications 10 Enrollment (As of January 9, 2025) 10 HIGHLIGHTS

AI summary The MURB Recruitment section outlines the enrollment targets and current status for the MURB Rate program, with a target of 10 enrollments and 10 new applications in Year 4. As of January 9, 2025, the enrollment count is at 10.

We will: p. pp. 49-50
We will: - Continue to encourage sign-ups for the TVP mailing list on our rate pilot landing pages through customer conversations and public events. At the time of this report, there are currently over 560 Customers signed up. - Roll out o...

AI summary The document outlines plans to increase participation in the Time-Varying Pricing (TVP) rate pilot by improving customer engagement, marketing, and application processes. Over 560 customers are currently signed up, and exit surveys will inform future planning.

Residential p. pp. 51-52
Residential - Strongest recruitment tactic accounting for 87% of new participants in year 4. - Ran from Oct 22 Dec 15 with emails to over 355K Residential Customers. - Highest Click Rate and Open Rate occurred with Email 2 - to a segment o...

AI summary The residential recruitment campaign was highly effective, with the strongest tactic accounting for 87% of new participants in year 4. The campaign ran from October to December and included emails sent to over 355,000 residential customers, with the highest engagement rates observed in the second email targeting those who had engaged with the first but did not apply.

Direct Mail p. pp. 53-54
Direct Mail - Second strongest marketing tactic. - Recruitment postcard, sent as a Neighborhood Mail piece, reached 200,000 single-dwelling homes. - This campaign generated 7,729 website sessions via the QR Code - Continuing to drive traff...

AI summary The Direct Mail campaign was the second strongest marketing tactic, reaching 200,000 single-dwelling homes through a postcard sent as a Neighborhood Mail piece. The campaign generated 7,729 website sessions via a QR Code and continued to drive traffic to the website even after recruitment.

Residential p. pp. 54-84
Residential - SEM and Display - Paid Social - Facebook - Instagram - Reddit

AI summary The text outlines residential marketing channels, including SEM and Display, with specific focus on platforms like Facebook, Instagram, and Reddit.

Same metrics as in Phase 2 p. pp. 74-75
Same metrics as in Phase 2 - › Change in load (power kW) during peak periods: how much were participants able to reduce their consumption when it mattered - › Change in energy usage levels (kWh): how much energy did participants save in to...

AI summary The text outlines metrics used to evaluate energy usage and savings during peak periods, including changes in load, energy usage levels, and bill impacts. These metrics were also used in Phase 2 of the program.

Instead of only using the baseline period to determine space heating types, in Phase 3 participants were categorized based on both their preand post-participation space heating type. p. pp. 77-78
Instead of only using the baseline period to determine space heating types, in Phase 3 participants were categorized based on both their preand post-participation space heating type. Participant Segment Space Heating Pre Participation Spac...

AI summary In Phase 3, participants were categorized based on their pre- and post-participation space heating types, moving beyond the baseline period alone. This approach includes segments such as 'Steady electric,' 'Electrified,' 'De-electrified,' and 'Steady non-electric.'

Draft 2024/25 Areas of Focus Work Plan (3/5) p. pp. 104-106
Draft 2024/25 Areas of Focus Work Plan (3/5) Session & Timeline Summary of 2024/25 Areas of Focus & Board Directives Type Items to be Discussed/Reviewed distributed in January 2025) 5.0 – Reporting on Small Business Customer Items • (5.1)...

AI summary The draft 2024/25 Areas of Focus Work Plan includes a session on reporting changes to help small business customers determine if they will benefit from Time-Varying Pricing (TVP). It involves analyzing load characteristics, customer outreach, and exploring opportunities to classify customers by business sector.

As part of its Year Four Report, NS Power will: p. pp. 124-126
As part of its Year Four Report, NS Power will: - Following the completion of the Year 4 pilot, NS Power will develop and provide to stakeholders an examination of the commercial class customer characteristics (load shape, magnitude, busin...

AI summary NS Power will analyze the characteristics of commercial class customers participating in the TVP pilot to improve outreach and enrolment for CPP and TOU programs. They will maintain TVP reporting processes, file annual EM&V reports, and conduct a MURB Industry Group Session to discuss incentives and rebates for TVP adoption.

Comments Received December 2024 Responses Circulated January 30, 2025 p. pp. 126-127
Comments Received December 2024 Responses Circulated January 30, 2025 Stakeholder Comment NS Power Response Questions regarding the resulted report for Year Three • Has NSP investigated why the steady electric and electrified category cust...

AI summary The document discusses stakeholder questions regarding energy savings for steady electric and electrified customers, particularly focusing on heating loads and bill savings. NS Power responds by highlighting the influence of heating type on load shift and plans to focus on these customers in 2024/25, including their correlation to system peak. Critical Peak Pricing (CPP) participants also show greater savings due to higher load shift.

Preferred Rate Plan (Continued) p. pp. 139-189
Preferred Rate Plan (Continued) Among those who prefer the Time of Use plan, the predominant reason is because it will provide more benefits and savings . Meanwhile, those who prefer the Critical Peak Pricing concept most commonly mention...

AI summary The text discusses customer preferences for Time of Use and Critical Peak Pricing rate plans, highlighting reasons for preference such as cost savings and flexibility. It also notes communication preferences, with email being the most preferred method, and mentions other channels like the NSP website and bill attachments.

Electricity Bill p. pp. 143-144
Electricity Bill The majority of customers are more likely to review their bill thoroughly and keep track of trends, as opposed to simply paying the amount owed. Customers were presented a sliding scale and asked where their opinion lies b...

AI summary The majority of electricity customers (71%) thoroughly review their bills and track usage trends, while 22% only focus on the amount due. Businesses outside of Cape Breton, larger businesses, and those on paper billing are more likely to review their bills thoroughly.

More than one-half of customers use electric heat as their primary heat source in their business, while two in ten use oil. p. pp. 145-146
More than one-half of customers use electric heat as their primary heat source in their business, while two in ten use oil. Electric heat is greater among customers with fewer employees, and customers in buildings under 2,500 square feet....

AI summary More than half of customers use electric heat as their primary heat source in their business, while two in ten use oil. Electric heat is more common among customers with fewer employees, smaller buildings, e-billing customers, newer buildings, businesses in the Western region, and certain business types and rate classes.

Home Heating Energy Sources p. pp. 146-198
Home Heating Energy Sources In terms of total heat sources customers have in their business, electricity is used by three-quarters, while oil is used by three in ten. Other sources of heat are much less common among business customers. Oil...

AI summary The document discusses the distribution of home heating energy sources among business customers in Nova Scotia. Electricity is the most common source, used by three-quarters of customers, while oil is used by three in ten. Oil heat is more common in non-Metro areas and older buildings, while natural gas is more common in Metro customers. Electric heat is most prevalent in the Western region.

Home Heating Systems (Overall) p. pp. 148-149
Home Heating Systems (Overall) Across all heating systems that customers have in their business, electric baseboards are most common, with oil furnaces and heat pumps (ducted and ductless) closely trailing. As many customers have multiple...

AI summary The text discusses the prevalence of different heating systems in businesses, noting that electric baseboards are the most common, followed closely by oil furnaces and heat pumps. It references several figures and tables that provide detailed data on the distribution of heating systems.

Likelihood of Installing Smart Thermostat p. pp. 3-152
Likelihood of Installing Smart Thermostat Among customers without automated heating, one-third express a high likelihood of installing a smart thermostat in the next three years. Although a minority, this result suggests that smart thermos...

AI summary Among customers without automated heating, one-third are likely to install a smart thermostat within three years. Higher likelihood is seen in non-B2B businesses, small businesses, newer buildings, and those on rate code 11. However, small sample sizes in some subgroups require caution in interpreting these differences.

Electric water heaters are most common among business customers. p. pp. 152-153
Electric water heaters are most common among business customers. The majority of business customers have an electric water heater , while very few (2%) have a heat pump water heater . Meanwhile, two in ten have some other type of water hea...

AI summary The majority of business customers in Nova Scotia use electric water heaters, with only 2% using heat pump water heaters. Non-electric/heat pump water heaters are more common among customers who do not use electricity as their primary heating source, those without heat pumps, and in specific regions and building types.

Electric Devices p. pp. 153-154
Electric Devices Computer servers, ventilation, coolers/freezers, and exterior lighting are the most common major equipment business customers pay for at their business location. Business customer were also asked the type of equipment they...

AI summary The text discusses the types of electric devices used by business customers in their primary business locations, highlighting computer servers, ventilation, coolers/freezers, and exterior lighting as the most common. Businesses with heat pumps and those with more employees, larger square footage, and on rate 11 are more likely to use these devices.

Overall, more than one-third of customers express a high level of familiarity with the Time of Use rate plan concept. p. pp. 157-158
Overall, more than one-third of customers express a high level of familiarity with the Time of Use rate plan concept. Customers express a varying degree of familiarity with the Time of Use plan with more than one-third of customers indicat...

AI summary More than one-third of customers are highly familiar with the Time of Use rate plan, while 45% have a low level of familiarity. Familiarity is lowest among B2B customers and highest among those with larger homes and newer buildings.

Likes and Dislikes of Time of Use p. pp. 163-164
Likes and Dislikes of Time of Use Customers most like the chance to save money on the Time of Use rate plan, while a variety of dislikes are mentioned by a small proportion each. Unaided, customers most frequently mention liking the chance...

AI summary Customers appreciate the opportunity to save money through Time of Use rate plans, but some dislike the lack of flexibility and the need to adjust their energy use. A small proportion also mention issues such as peak times aligning with their highest usage and insufficient information on peak hours.

Customers were provided a description of the proposed Critical Peak Pricing rate plan. Overall, more than one-third express a high likelihood of participating. p. pp. 166-167
Customers were provided a description of the proposed Critical Peak Pricing rate plan. Overall, more than one-third express a high likelihood of participating. There is near identical likelihood that business customers would participate in...

AI summary Customers were provided with descriptions of the proposed Critical Peak Pricing rate plan and Time of Use plan. More than one-third of customers expressed a high likelihood of participating in the Critical Peak Pricing plan, with similar participation likelihoods observed between business customers for both plans. Interest was higher among non-MURB businesses and those in newer buildings.

Likes and Dislikes of Critical Peak Pricing p. pp. 168-169
Likes and Dislikes of Critical Peak Pricing Unaided, customers most like the chance to save money on their electricity bill, while most dislike the perception that peak rates are too high. Most commonly, one-third of customers note liking...

AI summary Customers most like the opportunity to save money through Critical Peak Pricing, but many dislike the perception that peak rates are too high. One-third of customers prefer cheaper rates, while three in ten dislike the concept entirely. These findings are consistent with residential results and are based on coded verbatim customer comments.

Likes and Dislikes of Critical Peak Pricing (Continued) p. pp. 169-170
Likes and Dislikes of Critical Peak Pricing (Continued) Customers were once again asked what they liked and disliked about the Critical Peak Pricing concept, this time prompted with options to choose from. Most commonly, customers like tha...

AI summary Customers were surveyed on their opinions about Critical Peak Pricing. Two-thirds liked the potential to save money, while others expressed concerns about higher costs during peak times and the need to change their behavior. Over half disliked the increased costs during peak hours and the lack of flexibility in adjusting power usage.

Reasons for Greater Interest in Critical Peak Pricing p. pp. 173-174
Reasons for Greater Interest in Critical Peak Pricing Of those most interested in Critical Peak Pricing, the main reasons are because of potential cost savings and providing more control over their usage. Most commonly, one-quarter indicat...

AI summary The text discusses the reasons why customers are interested in Critical Peak Pricing, highlighting potential cost savings, lower rates, and greater control over energy usage as the main factors. A quarter of respondents prefer this plan for these benefits, while a smaller proportion find it more suitable for their business needs.

Reasons for Disinterest in Either Plan p. pp. 174-175
Reasons for Disinterest in Either Plan Customers not interested in either program provide a variety of reasons as to why, with a perceived lack of flexibility most commonly mentioned. Most commonly, customers express being not interested i...

AI summary A significant percentage of customers are not interested in either pricing plan, citing a lack of flexibility as the primary concern. Other reasons include minimal benefits, higher bills, peak usage times, complexity, and distrust in NSP. Caution is advised when interpreting demographic subgroups due to small sample sizes.

When participating in a program, program updates would be most preferred by email. p. pp. 177-178
When participating in a program, program updates would be most preferred by email. Similar to more general program updates, customers were asked how they would like to receive notifications on program changes, information on personal elect...

AI summary The text discusses customer preferences for receiving program updates, including notifications on program changes, personal electricity usage information, and tips to reduce consumption. Most customers prefer email, while a smaller number prefer updates attached to their bills. E-bill and newer building residents are more likely to prefer email, whereas paper bill customers favor bill-attached updates.

Objectives and Methodology p. pp. 184-185
Objectives and Methodology The following report provides the results of the first phase of research for the 2021 Time Variable Pricing Study on behalf of Nova Scotia Power. Specifically, this version of the report includes only the results...

AI summary This report outlines the methodology and objectives of the first phase of the 2021 Time Variable Pricing Study conducted on behalf of Nova Scotia Power. It focuses on residential customer perceptions of Time of Use and Critical Peak Pricing rate plans, based on a survey of 7,675 participants with an 18% response rate. The study aims to inform the development of a pilot program.

Summary of Key Findings p. p. 186
Summary of Key Findings The following highlights are derived from the residential results from Phase 1 of the 2021 Time Variable Pricing Study: Of note, most customers are currently unfamiliar with the existing Time of Use plan that is off...

AI summary Most customers are unfamiliar with the existing Time of Use plan offered by Nova Scotia Power, but show high interest in it, with two-thirds expressing willingness to participate. Time of Use is more preferred than Critical Peak Pricing, with potential savings being a key attraction, though concerns about higher costs during peak usage are common.

Critical Peak Pricing p. p. 187
Critical Peak Pricing Looking at the Critical Peak Pricing plan specifically, one-third of customers express a high likelihood of participating in such a plan if it became available. Most commonly, customers like that the concept offers th...

AI summary The Critical Peak Pricing (CPP) plan has mixed customer reactions. One-third of customers are likely to participate, appreciating the potential for savings, lower rates, environmental benefits, and greater control over their bills. However, three in ten customers dislike the plan, citing higher costs during peak usage, the need to change behavior to save money, and the inability to change behavior as key concerns.

More than one-half of customers use electric heat as their primary heat source in their home, while three in ten use oil. p. pp. 196-197
More than one-half of customers use electric heat as their primary heat source in their home, while three in ten use oil. This same question was posed in the previous 2019 End Use survey and 2018 U&A survey with results being relatively co...

AI summary More than half of customers use electric heat as their primary heating source, with three in ten using oil. This has been consistent across recent surveys, with mobile home residents most likely to use electric heat. Other demographics show similar primary heat sources.

Reasons for Installing Smart Thermostat p. pp. 4-5
Reasons for Installing Smart Thermostat The small proportion who have already installed a smart thermostat primarily did so to save on electricity, and to make their heating more efficient. Other key mentions made by a small proportion of...

AI summary The text discusses the reasons why a small proportion of customers have installed smart thermostats, primarily to save on electricity and improve heating efficiency. Other reasons include receiving the thermostat as part of their home, environmental concerns, and having the latest technology. Caution is advised when interpreting demographic subgroup data due to small sample sizes.

Reason for Interest in Installing Smart Thermostat p. pp. 5-6
Reason for Interest in Installing Smart Thermostat Among customers expressing a high likelihood of installing a smart thermostat, interest is primarily related to electricity savings. Among customers interested in installing a smart thermo...

AI summary Customers interested in installing smart thermostats are primarily motivated by the potential for electricity savings, particularly those with electric heat. This interest is higher among older customers and those living in mobile homes, who may benefit more from reduced electricity costs.

Two thirds of customers have an electric water heater. p. pp. 6-7
Two thirds of customers have an electric water heater. While electric water heaters are common, comparatively, heat pump water heaters are rare, only being used by two percent of customers. Meanwhile, one-quarter of customers use some othe...

AI summary Electric water heaters are common among Nova Scotia customers, with two-thirds using them. Heat pump water heaters are rare, used by only two percent of customers. Electric water heaters are more common among customers with electric heat, those aged 35 and older, and those living in non-condo/apartment homes.

Customers were asked whether they use a variety of large appliances at their home. p. pp. 7-8
Customers were asked whether they use a variety of large appliances at their home. The vast majority of customers indicate having an electric clothes dryer in their home, while more than one-half also indicate having a stand-alone freezer...

AI summary The text discusses customer appliance usage, noting that most have electric clothes dryers, while over half have stand-alone freezers and ceiling/window fans. Usage patterns vary by age and heating system, such as heat pumps being more common among those with specific appliances.

Rate Type p. pp. 9-10
Rate Type Not surprisingly, most customers indicate being billed using the standard rate, with Time of Use and Net Metering billing being much less common. Of note, one in six customers were unsure which type of billing they were currently...

AI summary Most customers are billed using the standard rate, while Time of Use and Net Metering billing are less common. One in six customers are unsure of their billing type, particularly younger customers, those in condos/apartments, and those unfamiliar with Time of Use programs.

Following a more detailed description of the TVP program, customers express even greater interest. p. pp. 13-14
Following a more detailed description of the TVP program, customers express even greater interest. Following a more detailed description of the rate plan, including more information regarding potential savings if electricity consumption ha...

AI summary Following a more detailed description of the TVP program, customer interest increased significantly, with two-thirds expressing interest compared to 56% previously. Interest is higher among e-billing customers, high-income households, and those familiar with the Time of Use rate program.

Likes and Dislikes of Time of Use p. pp. 16-17
Likes and Dislikes of Time of Use Customers most like the chance to save money on the Time of Use rate plan, while a variety of dislikes are mentioned by a small proportion each. Unaided, customers most frequently mention liking the chance...

AI summary Customers appreciate the potential to save money through Time of Use (TOU) rate plans, with some valuing control over electricity charges. Dislikes include high peak rates and the need to adjust energy consumption habits. These findings are based on customer feedback collected and categorized from open-ended responses.

Likes and Dislikes of Time of Use (Continued) p. pp. 17-18
Likes and Dislikes of Time of Use (Continued) Customers were once again asked what they liked and disliked about the Time of Use concept, this time prompted with options to choose from. Most commonly, customers like that they could save mo...

AI summary Customers were surveyed on their preferences regarding Time of Use (TOU) pricing. Two-thirds liked the potential to save money, while over half disliked higher costs during peak times. Many also appreciated environmental benefits and increased control over their bills, though some disliked the need to change behavior to save money.

Customers were provided a description of the proposed Critical Peak Pricing rate plan. Overall, one-third express a high likelihood of participating. p. pp. 19-20
Customers were provided a description of the proposed Critical Peak Pricing rate plan. Overall, one-third express a high likelihood of participating. Overall, there is lesser interest in participating in the proposed Critical Peak Pricing...

AI summary Customers were presented with the proposed Critical Peak Pricing (CPP) rate plan, and one-third expressed a high likelihood of participation. Interest in CPP was lower compared to the Time of Use (TOU) plan, though participation likelihood was consistent across demographics.

Likes and Dislikes of Critical Peak Pricing (Continued) p. pp. 21-22
Likes and Dislikes of Critical Peak Pricing (Continued) Customers were once again asked what they liked and disliked about the Critical Peak Pricing concept, this time prompted with options to choose from. Most commonly, customers like tha...

AI summary Customers were asked about their preferences regarding Critical Peak Pricing (CPP). Most appreciate the potential for savings and lower rates, while concerns include higher costs during peak times and the need to change behavior. Some customers feel they cannot adjust their usage, though few are unwilling to do so.

Preferred Rate Plan p. pp. 22-23
Preferred Rate Plan

AI summary The document discusses the Preferred Rate Plan, including visual elements such as images related to the topic. It appears to be part of a regulatory proceeding involving rate structures and customer programs.

Between the two rate plans proposed, customers express much greater interest in the Time of Use plan overall. p. pp. 23-24
Between the two rate plans proposed, customers express much greater interest in the Time of Use plan overall. More specifically, four in ten customers select the Time of Use plan as being most of interest to them, while only one in ten sel...

AI summary Customers show significantly higher interest in the Time of Use (TOU) plan compared to the Critical Peak Pricing (CPP) plan. Four in ten customers find the TOU plan most of interest, while only one in ten find the CPP plan most of interest. Interest in the TOU plan increases with income and among e-billing customers, and familiarity with the existing TOU plan correlates with higher interest.

Of those most interested in Critical Peak Pricing, the main reason is for the potential cost savings. p. pp. 25-26
Of those most interested in Critical Peak Pricing, the main reason is for the potential cost savings. Most commonly, one-third indicate their preference for the Critical Peak Pricing plan because of its potential cost savings and lower rat...

AI summary The text discusses customer preferences for Critical Peak Pricing, highlighting that one-third prefer it for potential cost savings and lower annual rates, while others cite factors like peak events occurring only during certain months and greater control over usage. Younger residents are more likely to prioritize cost savings and the limited duration of peak events.

Reasons for Disinterest in Either Plan p. pp. 26-27
Reasons for Disinterest in Either Plan Customers not interested in either program provide a variety of reasons as to why, with minimal savings being most common. Most commonly, customers express being not interested in either pricing plan...

AI summary Customers not interested in either pricing plan cite minimal savings as the most common reason, followed by concerns about higher bills, preference for current plans, distrust in NSP, peak usage times, and complexity of the plans.

Required Savings p. pp. 28-29
Required Savings On average, customers are looking to save more than $300 per year to make the programs worthwhile to them, though a majority would take part in order to save less than $300. Regardless of a customer's interest in the progr...

AI summary The text discusses customer expectations for savings from energy programs, noting that on average, customers expect to save around $381 annually, with variations based on interest in specific programs and demographics. Customers with electric heat or heat pumps, and larger households, require higher savings to participate.

When participating in a program, program updates would be most preferred by email. p. pp. 30-31
When participating in a program, program updates would be most preferred by email. Similar to more general program updates, customers were asked how they would like to receive notifications on program changes, information on personal elect...

AI summary The text discusses customer preferences for receiving program updates, including notifications on program changes, electricity usage information, and tips to reduce consumption. The majority prefer email, while a smaller group prefers updates attached to their bill. E-bill customers are more likely to prefer email, whereas paper bill customers are more likely to prefer bill-attached updates.

- Updated table with numbers, fixed error and updated now with the most recent data (as of March 4, 2025), see table below: p. p. 34
- Updated table with numbers, fixed error and updated now with the most recent data (as of March 4, 2025), see table below: (previously shared table) TOU (Rate 80, 81) CPP (Rate 70, 71) Residential Tota l Enrollment Target 7,000 3,500 10,5...

AI summary The table presents updated enrollment data for Time of Use (TOU) and Critical Peak Pricing (CPP) programs as of March 4, 2025. It includes enrollment targets, new applications, accepted applications, and current enrollment numbers for residential customers.

Accessibility of TVP Tariffs for Renters p. pp. 43-44
Accessibility of TVP Tariffs for Renters - TVP tariffs have been designed to provide customers with choice and flexibility – there are no restrictions for renters to join a TVP Tariff - Current TVP Tariffs are also designed to be technolog...

AI summary TVP tariffs are accessible to renters and designed to be technology agnostic. Customer surveys indicate that most participants have not installed new equipment since enrolling, and there has been a significant increase in apartment dwellers applying for the program compared to previous years.

Summary of Year Four Applicant Characteristics p. pp. 44-45
Summary of Year Four Applicant Characteristics Applicant Income < $19,999 4.1% $20,000 to $29,000 6.2% $30,000 to $39,999 7.2% $40,000 to $49,999 8.5% $50,000 to $59,999 8.7% $60,000 to $74,999 12.5% $75,000 to $99,999 13.6% $100,000 to $1...

AI summary The summary presents data on the income distribution, primary heating methods, and residence types of applicants in Year Four. Income levels range from below $20,000 to $150,000 or more, with heat pumps being the most common heating method and single-family homes being the most common residence type.

HIGHLIGHTS: p. pp. 65-66
HIGHLIGHTS: - Launched new rates branding - Optimized and enhanced website experience - Improved application process with Salesforce integrations - Advanced and targeted email strategy - Amplified customer reach & engagement with multi-cha...

AI summary The document highlights recent initiatives focused on enhancing customer engagement and operational efficiency, including new rates branding, website optimization, improved application processes, targeted email strategies, multi-channel outreach, and the introduction of reporting and analytics tools for future planning.

Tactics and Schedule p. pp. 67-68
Tactics and Schedule - Email October 22 – December 13 - Introduced Retargeting and Segmentation/Personalization - Paid Channels October 21 November 30, Extended until December 2 - Direct Mail Postcard - Digital Ads Social, Google/Bing Disp...

AI summary The document outlines a marketing and engagement strategy for a program, including email campaigns, paid and owned media channels, internal communications, earned media efforts, and customer onboarding and retention initiatives. The plan spans from October to December and includes tactics like retargeting, direct mail, digital ads, and web content updates.

HIGHLIGHTS: p. p. 69
HIGHLIGHTS: - Email generated 87% of new participants. - The decrease in Average Time on Landing page is small and likely due to content updates being more efficient for the reader. - Paid Search, Display, Reddit Ads outperformed industry...

AI summary The highlights indicate that email was highly effective in acquiring new participants, while content updates improved user engagement. Paid Search, Display, and Reddit Ads performed well above industry benchmarks, and Direct Mail continued to generate web traffic despite having the longest lifespan.

- Overall YoY decreases resulted from focusing on non-digital tactics which resulted in less digital traffic but more successful results. p. p. 70
- Overall YoY decreases resulted from focusing on non-digital tactics which resulted in less digital traffic but more successful results. Business YEAR 1 YEAR 2 YEAR 3 YEAR 4 Email YOY 9 6 Emails Recipients 4,136 6,914 6,216 503 -1136% Ψ....

AI summary The text discusses a year-over-year decrease in digital traffic due to a focus on non-digital tactics, resulting in more successful outcomes. It provides data on email engagement, web traffic, and paid search performance across multiple years, along with program enrollment targets and results.

Residential Recruitment p. p. 71
Residential Recruitment TOU (Rate 80, 81) CPP (Rate 70, 71) Residential Total Enrollment Target 7,000 3,500 10,500 Year 4 New Applications 4,903 2,248 7,151 Year 4 Accepted New Applications 4,097 2,487 6,584 Current Enrollment (As of March...

AI summary The document outlines the residential recruitment progress for the TOU and CPP programs, showing enrollment targets, new applications, accepted applications, and current enrollment as of March 4, 2025.

MURB Recruitment p. p. 73
MURB Recruitment MURB Rate Enrollment Target 10 Year 4 New Applications 10 Current Enrollment (As of January 9, 2025) 10 HIGHLIGHTS

AI summary The MURB Recruitment section outlines the enrollment targets and current status of the Multi-Unit Residential Buildings (MURB) Rate program, indicating a target of 10 enrollments with 10 new applications in Year 4 and 10 current enrollments as of January 9, 2025.

OPPORTUNITIES p. pp. 74-75
OPPORTUNITIES - SMB Recruitment Traditional marketing efforts showed inefficient for SMB recruitment. Conversations with trusted advisors (NS Power Commercial Advisors) proved to be the most effective tactic. - Channels & Timing Longer lea...

AI summary Traditional marketing for SMB recruitment was found to be inefficient, with trusted advisors proving more effective. Longer lead times and additional marketing channels are recommended to increase interest and applications.

Technical Session 2 (continued) – anticipated late-March/early-April p. pp. 78-79
Technical Session 2 (continued) – anticipated late-March/early-April Summary of 2024/25 Areas of Focus & Board Directives Туре Items to be Discussed/Reviewed 4.0 – Reporting on Small Business Customer Items (4.1) report to stakeholders on...

AI summary The 2024/25 focus areas include reporting on small business customer items, specifically analyzing load characteristics, customer recruitment, classification by business sector, and addressing customer reluctance to participate in the Tariff Variation Process (TVP).

Residential p. pp. 81-82
Residential - Strongest recruitment tactic, accounting for 87% of new participants in year 4. - Ban from Oct 22 Dec 15 and emailed over 355K Residential Customers. - Highest Click Rate and Open Rate occurred with Fmail 2 to a segment of cu...

AI summary The residential section highlights the effectiveness of email campaigns in recruiting new participants, with the strongest tactic accounting for 87% of new participants in year 4. Emails were sent to over 355K residential customers, and engagement metrics such as click and open rates are discussed, particularly for a targeted segment. The section also references time-of-use (TME-OF-USE) and includes figures related to these findings.

Internal Engagement p. pp. 89-90
Internal Engagement - Focus to increase word of mouth from NS Power employees to empower their ability to educate and explain the TVP Tariff program - Power to Learn (Internal Webinar) October 3, 2025 - 220 Attendees - PowerGram (internal...

AI summary The document outlines internal engagement efforts by NS Power, including a webinar, newsletter feature, and referral program aimed at promoting the TVP Tariff program through employee outreach and education.

2. Turn down the heat p. p. 93
2. Turn down the heat If you heat your home with electric heating systems, you may want to turn down the thermostat and avoid using supplemental electric space heaters. If you plen to turn the heating off completely, stay warm by slightly...

AI summary The text advises homeowners with electric heating systems to lower their thermostats and avoid using supplemental electric space heaters. It also suggests slightly pre-heating homes if turning off heating completely, ensuring it turns off before an event starts.

For Discussion Today (Technical Session 2 of 3) p. pp. 96-97
For Discussion Today (Technical Session 2 of 3) Summary of 2024/25 Areas of Focus & Board Directives Туре Items to be Discussed/Reviewed 4.0 – Reporting on Small Business Customer Items (4.1) report to stakeholders on changes that could be...

AI summary The document outlines the focus areas for the 2024/25 reporting period, including analyzing small business customer load characteristics, customer recruitment efforts, and exploring opportunities to classify customers by business sector. It also discusses reasons for customer reluctance to participate in TVP and evaluates the pilot tariff for potential improvements.

• What we've learned: p. p. 112
• What we've learned: - The Commercial and Business customer journey requires a personalized approach with a longer timeline from to make the decision (more than 2 months). - There can be more than one decision maker, who value face-to-fac...

AI summary The Commercial and Business customer journey requires a personalized approach with a longer decision-making timeline (over 2 months), and involves multiple decision makers who value face-to-face conversations and cost savings.

p. p. 130
Stakeholder Comment NS Power Response While the Consumer Advocate appreciates receiving a response from NSP to these concerns, the Consumer Advocate remains concerned renters may face barriers to participating in the TVP which could potent...

AI summary The Consumer Advocate notes that renters may face barriers to participating in Time-Varying Pricing (TVP) and believes these barriers could be better understood and addressed.

p. pp. 131-135
ss Recruitment Key Contacts 1. Please explain why there are zero TOU Applications received but 54 TOU Pilot Enrollments? 2. Does that mean a small business is enrolled in the Pilot but has not submitted an application? If yes, how does tha...

AI summary The document contains a series of questions and responses regarding the Time-Varying Pricing (TVP) program, specifically focusing on TOU (Time-of-Use) applications and enrollments. It addresses discrepancies between the number of applications and enrollments, the tracking of small businesses and MURB customers, and the reasons for a decline in interest in the TOU program in Year 4.

Section 1236 p. pp. 135-136
5 TVP Pilot Program 2023/24 (Year Three) Evaluation Report, Appendix B, p. 14 of 65. 6 54% of survey respondents reported having household incomes higher than $80,000, which is above the median household income of approximately $72,000. Go...

AI summary The text references an evaluation report on the TVP Pilot Program 2023/24, highlights income data from a 2021 census, and provides statistics on housing stock in Nova Scotia. It also cites a response from NS Power to stakeholder comments.

N-1-(i)TVP Year 4 Report Appendix A (Redline) - Refiled 16 passages
Definitions p. p. 4
Definitions Adjusted Net Load The hourly net system requirement (MW) less all wind generation (MW) Performance Assessment on General Service Class Customers 139 Reporting on Small Business Characteristics that Enable Load Shifting139 Revie...

AI summary The document provides definitions and a list of tables related to load reduction, energy consumption, and performance assessments under various tariff structures, including Time-Varying Pricing (TVP), Critical Peak Pricing (CPP), and Time-of-Use (TOU) tariffs. It includes data on participation, retention, and load changes for residential and commercial customers.

Residential Findings p. p. 15
Residential Findings In total, 5,616 TOU and 2,642 CPP residential customers participated in the TVP program in Phase 4. Of these, 4,938 TOU and 2,310 CPP customers were included in the regression when counting only those who meet the crit...

AI summary In Phase 4 of the TVP program, 5,616 TOU and 2,642 CPP residential customers participated, with 4,938 TOU and 2,310 CPP customers included in the regression analysis. Participants achieved significant electricity load reductions during peak periods and events, consistent with Phase 3 results.

Table 6: Participation Summary and Retention Results p. pp. 21-22
Table 6: Participation Summary and Retention Results TVP Tariff 𝐀 Enrolled prior to beginning of Phase 4 Winter (October 31, 2024) 𝐁 Enrolled during Phase 4 Winter (November 1, 2024 to March 31, 2025) 𝐂 Withdrew mid Phase 4 Winter (Novembe...

AI summary Table 6 presents participation and retention results for various TVP tariff programs during Phase 4 Winter. It shows the number of participants enrolled prior to and during the phase, withdrawals, and retention rates. The data highlights differences in participation and retention across different tariff types.

2.1 Residential TOU & CPP p. pp. 24-26
2.1 Residential TOU & CPP To best evaluate load and billing effects of the TVP pilot, it is important to have a control group with similar load characteristics to that of the treatment group. The control group selection load profile match...

AI summary The document evaluates the load and billing effects of the Time-Varying Pricing (TVP) pilot by comparing control and treatment groups. It highlights a 96% match accuracy in load profiles for both TOU and CPP, with similar baseline characteristics between control and treatment groups, though living space and electric space heating penetration differ, contributing to higher energy consumption in TVP customers.

3.2.2 Price Elasticity p. p. 48
3.2.2 Price Elasticity Residential TOU participants' responsivity to electricity prices ($/kWh) was evaluated by estimating daily price elasticity during non-holiday weekdays in Winter season, as well as the Inter-period Substitution Price...

AI summary The analysis of residential TOU participants' price elasticity during winter non-holiday weekdays shows a daily price elasticity of -1.05 and an inter-period substitution elasticity of -0.14, indicating that higher prices lead to reduced electricity usage and shifting of load to off-peak hours.

Section 81 p. p. 49
[Table 21](#page-50-2) below summarizes the characteristics of the residential CPP participants that were included in the analysis of the load and economic impacts. As seen in [Table 5,](#page-21-0) the number of CPP participants in Cohort...

AI summary Table 21 summarizes residential Critical Peak Pricing (CPP) participants' characteristics, highlighting that Cohort 4 has significantly more participants compared to Cohort 1, 2, and 3. The average temperature during events was -7.6 °C, and double events occurred on the same day.

Section 98 p. pp. 59-60
The results of the second analysis are summarized i[n Table 28](#page-60-0) and show changes in daily electricity usage level for cohorts 1 to 4 and all cohorts combined during non-holiday weekdays and holiday weekends in Winter as well as...

AI summary The second analysis shows that all cohorts of Critical Peak Pricing (CPP) participants significantly reduced their daily electricity usage during non-holiday weekdays in Winter. Load reductions were also observed during holiday weekends in Winter, except for cohort 3, which did not show statistically significant reductions. Annual aggregated usage reductions for all CPP participants combined are estimated at 0.973 ±0.24 kWh per day, amounting to 355 kWh per year on average.

Section 100 p. pp. 60-61
[Table 29](#page-61-1) presents changes in daily electricity usage level by space heating for all cohorts of residential CPP participants during pilot period compared to pre-pilot period. During non-holiday weekdays in Winter, CPP particip...

AI summary Table 29 shows that residential Critical Peak Pricing (CPP) participants with electrified space heating had a 13% increase in daily electricity usage during non-holiday weekdays in winter, while de-electrified and steady electric participants saw reductions. Steady non-electric participants showed no significant change in usage.

Section 108 p. pp. 63-64
The analysis reveals that the type of space heating has a significant effect on the bill savings for the CPP participants. The steady electric participants achieved the highest bill savings compared to steady non-electric. While CPP partic...

AI summary The analysis shows that the type of space heating significantly affects bill savings for Conservation Program Participants (CPP). Steady electric heating systems achieved the highest bill savings, particularly on non-Winter days, while electrified customers did not achieve statistically significant annual savings.

Parameters De- Electrified Electrified Steady Electric Steady Non-Electric p. p. 64
Parameters De- Electrified Electrified Steady Electric Steady Non-Electric Winter Avg. Bill Savings ($/day) a 0.36 ± 0.04 -0.47 ± 0.03 $0.56 \pm 0.02$ 0.14 ± 0.01 Avg. Bill – Residential CPP, Pre- Pilot ($/day) 6.3 8.0 10.3 3.4 Relative Av...

AI summary The table presents average bill savings and significance levels for different electrification scenarios across winter, non-winter, and annual periods. It indicates that De-Electrified and Electrified scenarios show mixed results, with some periods showing significant savings and others not. The data highlights the impact of electrification on residential bill savings for Conservation Program Participants (CPP).

Table 51: Snapback Effect for MURB TOU Participants in Winter p. p. 90
Table 51: Snapback Effect for MURB TOU Participants in Winter Parameters Avg. Load Reduction (kW)a Relative Avg. Load (%)a Reduction Significance (p_Value≤0.05) Morning Snapbackb 1.20 ± 0.48 5.0% ✓ Evening Snapbackc 0.53 ± 0.54 2.3% X Over...

AI summary Table 51 presents the snapback effect for Multi-Unit Residential Building Time-of-Use (MURBTOU) participants during winter, showing load reduction in the morning and overall, but not in the evening. The results indicate statistical significance for morning and overall snapback effects.

Table 53: Change in Daily Electricity Usage (kWh/day) for MURB TOU Participants p. p. 92
Table 53: Change in Daily Electricity Usage (kWh/day) for MURB TOU Participants Winter Winter Months Parameters Overall January February March November December Avg. Usage Reduction 16.5 ± 30 22 ± 45 33 ± 97 -34 ± 35 66 ± 68 11 ± 34 (kWh/d...

AI summary Table 53 presents the change in daily electricity usage (kWh/day) for Multi-Unit Residential Building Time-of-Use (MURB TOU) participants during winter months. The data shows varying levels of usage reduction and increase across different months, with statistical significance noted for all parameters.

Table 55: Changes in Demand by MURB TOU Participants during Winter p. pp. 95-96
Table 55: Changes in Demand by MURB TOU Participants during Winter Parameters Pre Morning b Peak Morning c Peak Morning Snapback d Pre Evening e Peak Evening Peakf Evening Snapbackg Overall Daily Avg. Demand Reduction (kW)a -0.2 80 ± 0.280...

AI summary Table 55 shows changes in demand by MURB TOU participants during winter, including average demand reduction, average demand, relative demand change percentages, and significance levels. The data highlights variations in demand reduction across different time periods and the statistical significance of these changes.

Table 57: Change in Daily Electricity Bill by Month during Winter for MURB TOU Participants p. p. 98
Table 57: Change in Daily Electricity Bill by Month during Winter for MURB TOU Participants Winter Winter Months Parameters Overall January February March November December Avg. Bill Savings 12.0-4.5 ± -7.47.7 ± -56.91.7 ± -1.112.3 ± 8.6 3...

AI summary Table 57 presents the change in daily electricity bills by month during winter for MURB TOU participants. It shows average bill savings and relative bill savings percentages, with significance indicators, highlighting variations across different months.

Attachment VI: Control Group Selection Non-Load Variables p. pp. 144-145
Attachment VI: Control Group Selection Non-Load Variables Metric Rate Treatment Control Population Median Income. 28 CPP $ 88,813 $ 85,986 $ 85,143 Median income. TOU $ 88,496 $ 86,853 φ 65,145 Average Residents per СРР 2.372 2.344 2.384 H...

AI summary This document presents a comparison of non-load variables between treatment and control groups, including median income, average residents per household, year built, and living space. It also provides data on house styles and their distribution across different groups.

Review of Marketing and Communication Efforts p. pp. 154-155
Review of Marketing and Communication Efforts In its Decision and Order on the Year Three Report (M11823), the Board provided: Narrative Research conducted a customer survey, which highlighted residential customers' dissatisfaction regardi...

AI summary The Board directed NS Power to review its marketing and communication efforts, particularly regarding bill savings expectations for residential and commercial customers. NS Power has implemented tools and strategies to improve communication, including estimation tools for residential customers and coordinated approaches with commercial clients. Appendix C and E provide details on marketing efforts and stakeholder sessions.

N-2TVP Year 4 Report Appendix A (Clean) - Refiled 10 passages
Definitions p. pp. 1-2
Definitions Adjusted Net Load The hourly net system requirement (MW) less all wind generation (MW) Cohorts Cohorts are numbered based on the Phase they enrolled in the TVP program. For example, Cohort 4 refers to participants recruited in...

AI summary The document defines key terms used in the regulatory proceeding, including Adjusted Net Load, Cohorts, Commercial, Consumption, Control, Demand, and Income categories. These definitions provide clarity on metrics and classifications relevant to the analysis of energy programs and customer data.

Residential Findings p. p. 15
Residential Findings In total, 5,616 TOU and 2,642 CPP residential customers participated in the TVP program in Phase 4. Of these, 4,938 TOU and 2,310 CPP customers were included in the regression when counting only those who meet the crit...

AI summary Phase 4 of the TVP program saw 5,616 TOU and 2,642 CPP residential customers participate, with 4,938 TOU and 2,310 CPP customers included in the regression analysis. Participants achieved significant electricity load reductions during peak periods and events, consistent with Phase 3 results.

2.1 Residential TOU & CPP p. pp. 24-26
2.1 Residential TOU & CPP To best evaluate load and billing effects of the TVP pilot, it is important to have a control group with similar load characteristics to that of the treatment group. The control group selection load profile match...

AI summary The analysis compares the residential TOU and CPP control and treatment groups, showing a 96% match accuracy in load profiles. While baseline characteristics like income and housing style are similar, living space and electric space heating penetration differ, contributing to higher energy consumption in TVP customers compared to the average residential customer.

3 Residential TOU Tariff Impacts p. pp. 32-33
3 Residential TOU Tariff Impacts This section presents the analysis results for load and economic impacts of Residential TOU tariffs for all cohorts in Phase 4. The goal of the residential TOU pilot is to encourage customers to shift their...

AI summary This section evaluates the load and economic impacts of Residential TOU tariffs in Phase 4, aiming to encourage customers to shift electricity usage from peak to off-peak periods. Cohort 4 has significantly more participants than the combined total of cohorts 1-3, and participants with steady electric heating systems are more common than those with other heating types.

Parameters De - El ec tr ifi ed El ec tr ifi ed El St ec ea tr d p. p. 45
Parameters De - El ec tr ifi ed El ec tr ifi ed El St ec ea tr dy ic No St n- El ea ec dy tr ic Winter, Non-Holiday Weekdays a Avg. Usage Reduction(kWh/day) 0.75 ± 0.20 -0.09 ± 0.14 1.96 ± 0.10 0.15 ± 0.07 Avg. Usage – Residential TOU Part...

AI summary The document presents data on average usage reduction across different seasons and customer segments, showing that residential TOU participants experienced varying levels of reduction, with higher reductions during non-holiday weekdays. No significant differences were found among income levels or between Halifax and other regions.

Preamble p. pp. 49-73
[Table 21](#page-50-2) below summarizes the characteristics of the residential CPP participants that were included in the analysis of the load and economic impacts. As seen in [Table 5](#page-21-0), the number of CPP participants in Cohort...

AI summary Table 21 summarizes the characteristics of residential Critical Peak Pricing (CPP) participants across different cohorts, highlighting differences in sample size, heating types, and regional distribution. Cohort 4 has the largest number of participants, and the data includes details on heating type distribution and geographic regions.

Table 30: Tariffs Used for Analyzing Residential CPP Impact on Electricity Bill p. pp. 62-63
Table 30: Tariffs Used for Analyzing Residential CPP Impact on Electricity Bill Customer Type and Period Applicable Tariff Control, Reference Day Domestic Standard Tariff Control, during Pilot Domestic Standard Tariff Treatment, Reference...

AI summary Table 30 and Table 31 analyze the impact of the Residential CPP on electricity bills. The Domestic CPP Tariff results in significant savings, especially during non-Winter days and weekends/holidays in Winter, due to lower rates during non-peak hours compared to peak hours.

Section 106 p. pp. 63-64
The analysis reveals that the type of space heating has a significant effect on the bill savings for the CPP participants. The steady electric participants achieved the highest bill savings compared to steady non-electric. While CPP partic...

AI summary The analysis shows that residential CPP participants with steady electric heating systems achieve the highest bill savings, particularly on non-Winter days. Electrified participants have lower savings and do not achieve statistically significant annual savings. The study does not account for additional fuel costs for non-electric heating sources.

Table 53: Change in Daily Electricity Usage (kWh/day) for MURB TOU Participants p. p. 92
Table 53: Change in Daily Electricity Usage (kWh/day) for MURB TOU Participants Winter Winter Months Parameters Overall January February March November December Avg. Usage Reduction 16.5 ± 30 22 ± 45 33 ± 97 -34 ± 35 66 ± 68 11 ± 34 (kWh/d...

AI summary Table 53 presents the change in daily electricity usage for MURB TOU participants during winter months, showing reductions and increases across different months with statistical significance noted for all parameters.

Parameters Winter V Vinter Mon ths p. p. 98
Parameters Winter V Vinter Mon ths Parameters Overall January February March November December Avg. Bill Savings -4.5 ± -7.7 ± -1.7 ± 36.5 -12.3 ± 32.4 ± 38.1 -6.3± 22.7 ($/day) a 11.4 36.7 -1.7 ± 30.5 14.9 32.4 - 30.1 -0.3± 22.7 Avg. Bill...

AI summary The data shows average bill savings and increases across different months for MURBs and TOU participants. The effect of demand changes on customer savings is statistically insignificant due to insignificant monthly demand effects used for billing.

N-3Time-Varying Pricing (TVP) Pilot Year Five (2025/26) Evaluation Report (Appendix A) 17 passages
Preamble p. pp. 12-83
Observable trends from [Table 2](#page-12-0) indicate an increase in February and a decrease in March with respect to peak and mid-peak load when comparing both Phases. Although these changes are statistically significant, changes in resul...

AI summary Observable trends from Table 2 show increased peak and mid-peak load in February and decreased load in March across phases. While these changes are statistically significant, year-over-year differences are not meaningful due to low sample size and mixed observations. Energy usage, demand, and bill savings show mixed results with no statistical significance between Phase 4 and 5.

Section 25 p. p. 15
The TVP pilot program has increased enrolment year over year with a total of 8,376 participants at the end of Phase 4. Due to the temporary pause of six of seven TVP tariffs, excluding the MURB TOU, Phase 5 contains only 10 participating T...

AI summary The TVP pilot program has seen increased participation over the years, reaching 8,376 participants by the end of Phase 4. However, Phase 5 has only 10 participants due to the temporary pause of most TVP tariffs, with all 10 remaining participants being from the MURB TOU category.

Customer Type Period Applicable Tariff p. p. 28
Customer Type Period Applicable Tariff Control Pre-Pilot General Tariff Control Pilot General Tariff Treatment Pre-Pilot General Tariff Treatment Pilot MURB TOU Tariff [Table 12](#page-28-2) presents the estimated overall bill impacts and...

AI summary Table 12 shows that MURB TOU participants experienced an average daily bill increase of approximately $16.7 during the Winter 2025/26 evaluation period, though it is statistically insignificant. The data includes average bill savings by month and relative bill savings percentages.

Stay Informed. p. p. 46
Stay Informed. When the Critical Peak Pricing Rate Pilot is restored, we will notify you in advance so you can be prepared for the return of Critical Peak events and off-peak rates. Thank you for your continued participation and interest i...

AI summary The Critical Peak Pricing Rate Pilot will be restored, and participants will be notified in advance. Updates will be sent to those who have provided their contact information through the designated website or QR code.

2026 Communications p. p. 46
2026 Communications - An update was sent to both Residential and Business customers via email on March 19, 2026. - The purpose of this email was to maintain a line of communication and share the anticipated timeline for when the program wi...

AI summary An update was sent to residential and business customers on March 19, 2026, to maintain communication and share the anticipated timeline for resuming a program. NS Power staff were prepared to discuss the rate pilot at 2026 Home Shows and Billing Events, and prospective participants were encouraged to join a mailing list for updates.

Items provided in the Year Four (2024/25) Evaluation Report (and previously discussed in 2024/25 Technical Session 2) p. pp. 49-50
Items provided in the Year Four (2024/25) Evaluation Report (and previously discussed in 2024/25 Technical Session 2) Summary of 2024/25 Areas of Focus & Board Directives – Updated for 2026/27 Type Items to be Discussed/Reviewed 4.0 – Repo...

AI summary The document outlines the focus areas for the 2024/25 Evaluation Report, including reporting on small business customer items and changes to Time-Varying Pricing (TVP). It discusses analyzing load characteristics, customer recruitment, and reasons for customer reluctance to participate in TVP.

Responses Filed 31 July 2026 p. p. 56
Responses Filed 31 July 2026 Stakeholder Comment NS Power Response Small Business Advocate (SBA) 2. Noting our comments above, why, despite ~10% attrition and not meeting the pilot's target, is the focus primarily on retention rather than...

AI summary The Small Business Advocate questions why NS Power is focusing on retention rather than expanding recruitment in the TVP program, despite a 10% attrition rate. NS Power responds that a 10% attrition rate is expected and that the focus for 2026/27 will be on retaining existing customers and restoring TVP rates to operational status, with no active recruitment planned.

Participation & Retention p. p. 70
Participation & Retention - Total enrolment has increased by 5,095 participants from Phase 3 to Phase 4 across both residential TVP rates. - Commercial enrolment in CPP and MURB TOU only.

AI summary Total enrolment in residential TVP rates has increased by 5,095 participants from Phase 3 to Phase 4, while commercial enrolment is limited to CPP and MURB TOU programs.

TVP Year Five Report Appendix B Page 36 of 79 p. p. 72
TVP Year Five Report Appendix B Page 36 of 79 RESIDENTIAL TOU FINDINGS

AI summary The document presents findings related to residential Time-Varying Pricing (TOU) in the fifth year of the TVP program. It focuses on the impact of TOU on residential customers, including energy usage patterns and program effectiveness.

- Participants who electrified their heating system, by transitioning from non-electric to electric space heating, exhibit load reductions of 0.07 kW and 0.14 kW during morning and evening peak hours. p. p. 74
- Participants who electrified their heating system, by transitioning from non-electric to electric space heating, exhibit load reductions of 0.07 kW and 0.14 kW during morning and evening peak hours. Mor ning Eve ning Parameters De-Electr...

AI summary Participants who transitioned from non-electric to electric space heating show load reductions of 0.07 kW and 0.14 kW during morning and evening peak hours. The table shows average load reductions and relative percentages across different electrification scenarios.

Load Impact with Eco Shift Enrolment p. pp. 76-77
Load Impact with Eco Shift Enrolment - TOU program alone led to an overall load reduction of 0.15 ± 0.002 kW - TOU participants that also enrolled in Eco Shift reduced their overall load by an additional 0.29 kW ± 0.01 kW during all TOU pe...

AI summary The TOU program alone led to a 0.15 kW load reduction, and combining it with Eco Shift further reduced load by 0.29 kW during peak hours. Smart energy technology improves residential load reduction during peak periods without demand response events.

- All cohorts reduced their daily usage during Non -Winter, regardless that peak periods are not applicable. Overall, a reduction of 0.54 kWh per day was observed. p. p. 77
- All cohorts reduced their daily usage during Non -Winter, regardless that peak periods are not applicable. Overall, a reduction of 0.54 kWh per day was observed. Parameters Cohort 1 Cohort 2 Cohort 3 Cohort 4 All Winter, Non-Holiday Week...

AI summary All cohorts reduced their daily energy usage during the Non-Winter period, with an overall reduction of 0.54 kWh per day. Usage reductions were observed across different cohorts and time periods, including weekdays and weekends/holidays.

Table 16: Change in Daily Electricity Usage Level by Space Heating Type for All Cohorts of Residential TOU Participants p. p. 78
Table 16: Change in Daily Electricity Usage Level by Space Heating Type for All Cohorts of Residential TOU Participants Parameters De-Electrified Electrified Steady Electric Steady Non-Electric Winter, Non-Holiday Weekdays Avg. Usage Reduc...

AI summary Table 16 presents the change in daily electricity usage levels for residential TOU participants, categorized by space heating type. The data shows varying degrees of usage reduction or increase across different cohorts, with statistical significance noted for some categories. The findings highlight the impact of TVP on electricity usage, particularly during winter and non-winter periods.

- During non -Winter, savings of $1.54 per day were observed (32.6% decrease) p. pp. 79-80
- During non -Winter, savings of $1.54 per day were observed (32.6% decrease) Parameters Winter Non- Holiday Weekdays Winter Holiday/ Weekends Winter Overall Non-Winter Annual Average Avg. Bill Savings ($/day) a -2.05 ± 0.01 0.12 ± 0.01 -1...

AI summary During non-Winter periods, the program observed an average daily savings of $1.54, representing a 32.6% decrease. The data contrasts with non-significant savings during Winter periods, indicating seasonal variations in program effectiveness.

Bill Impact by Space Heating Classification p. p. 89
Bill Impact by Space Heating Classification - CPP participants with Steady Electric heating systems experienced the highest bill savings by $0.56 per day during Winter. - Participants with all Space Heating systems experienced significant...

AI summary The analysis shows that CPP participants with Steady Electric heating systems had the highest daily bill savings of $0.56 during winter, while all participants with space heating systems experienced significant savings during non-winter seasons.

Bill Impact p. p. 108
Bill Impact - During the Winter, participants on average experienced an increase in bill by $4.5 per day. - On a monthly basis, mixed results are observed showing increases (Jan, Feb, Mar, Dec) and decreases (Nov) in bill.

AI summary During the winter, participants experienced an average increase of $4.5 per day in their bills. Monthly results showed mixed outcomes, with increases in some months and a decrease in November.

Key Findings p. pp. 109-110
Key Findings - 1. Overall, participants showed modest load reductions across most hours, with statistically significant reductions during evening peak periods and no evidence of snapback. Overall, these findings are directionally positive...

AI summary Key findings from TVP Phase 4 show modest load reductions during evening peak periods, with no evidence of snapback. However, no significant changes in monthly demand were observed among MURB TOU customers, though the low sample size limits the conclusiveness of this finding.

103362NSEB (NSPI) IR 1 to 10 2 passages
Request IR-6:
Request IR-6: - Appendix A, pdf page 37 presents Table 6: Participation Summary and Retention Results. With - reference to the Small General and General customers: - October 31, 2024: 42 TOU customers (36+6) and 21 CPP customers (3+19) for...

AI summary The document highlights discrepancies in the reported numbers of Time-of-Use (TOU) and Critical Peak Pricing (CPP) commercial participants across different sections of the Year 4 Report. Specifically, there is a mismatch in the number of new enrollments and total participants between Appendix A and Appendix C.

Section 15
- i. If it is at an aggregate MURB level, could the results have been affected by an increase in the number of residents in a MURB? - ii. Can this analysis be performed on an occupied residential unit basis?

AI summary The text raises two questions about the analysis of data at the aggregate MURB level and whether the analysis can be conducted on an occupied residential unit basis.

103366CA (NSPI) IR 1 to 19 2 passages
Request IR-16: p. p. 5
Request IR-16: Reference: M12932 N-1 TVP Evaluation Report, Appendix A, p. 22, Table 6 (figures as reported): Domestic TOU — 2,174 enrolled prior to the Phase 4 Winter plus 4,271 newly enrolled, less 829, leaving 5,616 enrolled at March 31...

AI summary NS Power reports high residential retention rates for Time-of-Use (TOU) and Critical Peak Pricing (CPP) programs, but participant satisfaction scores are low at 7.1 out of 10. The question asks NS Power to explain how these figures align and whether the satisfaction results are a concern.

Request IR-17: p. p. 5
Request IR-17: Reference: M12932 N-1 TVP Evaluation Report, Appendix B, p. 14 of 67. "Comparing satisfaction results across the provinces, overall TVP pilot participant satisfaction is significantly lower in Western Nova Scotia compared to...

AI summary The text discusses participant satisfaction with TVP and CPP programs, noting lower satisfaction in Western Nova Scotia due to higher prevalence of electric heating, but also states that overall satisfaction does not vary significantly by heat source. This apparent contradiction needs reconciliation.

Disclaimer: These summaries were generated by AI from the filings they describe. We take care to make them accurate, but errors are possible - and they aren't advice. Only the filings themselves are the record: if you're relying on something here, confirm it against the source documents or the Nova Scotia Energy Board's own record. Full disclaimer →