N-1Evaluation Report
28 passages
Summary of Deliverable / Commitment Detail & Context Source 1 Initial Due by / Completed on Status Refer to Review of accessibility as applicable to vulnerable customers (i.e. low-income) Examine the results of the Year 3 report as it rela...
AI summary The text outlines several deliverables and commitments related to accessibility for vulnerable customers, metering and billing system capabilities, and the evaluation of demand charge impacts on participation in time-varying pricing (TVP) programs. NS Power is tasked with addressing gaps in income analysis, assessing impacts on low-income customers, and evaluating the demand charge as a barrier to participation in TVP for General Service customers.
Abbreviations AMI Advanced Metering Infrastructure ANL Adjusted Net Load CPP Critical Peak Pricing DD Difference-in-difference DDD Triple difference-in-differences (Eco Shift) DOM Domestic Rate Class DR Demand Response EM&V Evaluation Meas...
AI summary The text provides a list of abbreviations and their full forms used in the regulatory proceeding. It includes terms related to energy, metering, pricing, and evaluation methodologies.
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 document defines key terms and metrics used in the regulatory proceeding, including hourly net system requirements, rate classes, energy consumption measurements, and income brackets. It outlines how participants are grouped in the TVP program and explains terminology related to electricity consumption and pilot program methodologies.
Evaluation Scope This evaluation pilot period (i.e. Phase 4) analyzes advanced metering infrastructure (AMI) data from November 1, 2020 – March 31, 2025. Each Phase, the pilot period shifts by 1-year; however, the prepilot period remains s...
AI summary The evaluation pilot period (Phase 4) analyzes AMI data from November 1, 2020, to March 31, 2025. The pilot period shifts by one year for each phase, but the prepilot period remains static. Evaluation metrics are categorized into 'Load & Usage' and 'Economic', with details provided in Table 4.
Advanced Metering Infrastructure The necessary AMI 15-minute interval data are aggregated to eight 24-hour load profiles for control group selection and hourly data for regression modelling (treatment and control). Cleaning steps specific...
AI summary The document outlines the process of aggregating 15-minute interval AMI data into eight 24-hour load profiles for control group selection and hourly data for regression modelling, with specific cleaning steps defined in relevant sections.
This bottom-up approach of individually matching treatment and control group customers at the most granular sub-group level ensures the best possible method to quantify effects at the various subgroupings without sacrificing accuracy when...
AI summary The text describes a method for quantifying effects by matching treatment and control groups at a granular level, using load similarity metrics calculated from AMI data. The metric 'SM_AMI' is defined using average and peak hourly interval consumption data during specific periods.
III.2.2 Heating Classification Customers are first classified into three categories (Primary, Secondary, Non-Electric) based on their electricity consumption as visualized in [Figure](#page-132-1) 48. Figure 48: Example of Heating Correlat...
AI summary Customers are classified into primary, secondary, or non-electric heating categories based on electricity consumption patterns and temperature data. The classification uses correlation coefficients and a minimum consumption threshold during cold days to determine heating type, with the model simplified for evaluation purposes.
III.3 Regression Models The regression models are divided into three sections, Residential TOU & CPP, Commercial TOU & CPP and MURB TOU. Notably, these regression models utilize hourly AMI data on a per-customer basis. This shift from prev...
AI summary The regression models are divided into three sections: Residential TOU & CPP, Commercial TOU & CPP, and MURB TOU. These models use hourly AMI data on a per-customer basis, leading to smaller margins of error compared to earlier TVP evaluation reports due to increased sample sizes in Phase 4.
Stage 2 AMI data from the neighbourhood selection pool candidates will be aggregated to average hourly interval consumption and peak hourly interval consumption during Winter and non-Winter, weekdays and weekends, creating two sets 96 data...
AI summary This section describes the use of AMI data to calculate a similarity metric for identifying control customers for treatment customers. The data is aggregated and analyzed to find the ten most similar control customers, ensuring balance in E1 program participation.
IV.2.2 Phase 2 To account for customers who've modified their heating source from their original rate code classification, the heating classification methodology was modified to use AMI and nearby weather station temperature data for indiv...
AI summary The heating classification methodology was updated in Phase 2 to use AMI and weather station data for individual premises, focusing on days with average temperatures below 10°C. Customers are classified as primary or secondary electric based on consumption correlation with temperature and a mean consumption threshold during top 20 consumption days.
IV.2.4 Phase 4 Phase 4 (this Phase) of the evaluation uses a similar methodology as Phase 3, with two key distinctions that improved the accuracy of the model. - 1. Heating classification is used in addition to the neighborhood criteria du...
AI summary Phase 4 of the evaluation improves upon Phase 3 by incorporating heating classification in control group selection and restricting AMI data to overnight hours for heating classification. These changes enhance the accuracy of load impact analysis, particularly for customers who have adjusted their space heating behavior in response to price signals.
Commercial TOU and CPP Customers [Figure](#page-153-1) 51 illustrates the baseload heterogeneity of TVP commercial premises, where substantial differences in baseline (Low, Medium and High), associated with time-invariant variables (e.g. s...
AI summary The text discusses the baseload heterogeneity among commercial TVP participants, highlighting differences in baseline levels (Low, Medium, and High) associated with time-invariant variables like business size. It explains how Fixed-Effect and Mixed-Effect models handle this heterogeneity in analysis.
Summary of Key Findings
AI summary The summary of key findings highlights the analysis of the impact of Time-Varying Pricing (TVP) on electricity demand and the effectiveness of Conservation Program Providers (CPP) in reducing energy consumption, particularly in Multi-Unit Residential Buildings (MURB). The findings also discuss the role of Effective Load Carrying Capability (ELCC) in grid reliability and the potential benefits of Time-of-Use (TOU) pricing models.
Model Commentary CPP volumetric rates effective November 1, 2024 Includes 2025 riders AMI data domain: January 1 – December 31, 2024 inclusive Presented for reference, not comparable to modeling submitted with the 2024/25 Application as on...
AI summary The document presents CPP volumetric rates effective November 1, 2024, including 2025 riders, with AMI data covering the full year of 2024. It notes that only 15 events occurred in 2024, making the data non-comparable to the modeling submitted with the 2024/25 Application.
Model Commentary CPP volumetric rates effective November 1, 2024 Includes 2025 riders AMI data domain: January 1 – December 31, 2024 inclusive 3 additional events were added to the model to create a total of 18 events
AI summary The Model Commentary outlines the CPP volumetric rates effective November 1, 2024, including 2025 riders, with AMI data covering the full year of 2024. Three additional events were added to the model, bringing the total to 18 events.
Small General, TOU - TOU volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive - Structural bill change = +2.4% note that technical sessions filed in 2024/2025 applicati...
AI summary The document outlines TOU volumetric rates effective November 1, 2024, including 2025 riders. It mentions an AMI data domain from January 1 to December 31, 2024, and notes a structural bill change of +2.4%, contrasting with a -2.6% change reported in technical sessions from the 2024/2025 application.
Small General, CPP (15 events) - CPP volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive
AI summary The document outlines the CPP volumetric rates effective November 1, 2024, and mentions the inclusion of 2025 riders. It also specifies the AMI data domain as January 1 to December 31, 2024.
General, TOU - TOU volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive - Structural bill change = -0.1% note that technical sessions filed in 2024/2025 application rep...
AI summary The document outlines Time-of-Use (TOU) volumetric rates effective November 1, 2024, including 2025 riders. The AMI data domain is set from January 1 to December 31, 2024. A structural bill change of -0.1% is noted, though technical sessions in the 2024/2025 application reported a -0.2% change.
General, CPP (15 events) - CPP volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive
AI summary The document outlines the CPP volumetric rates effective from November 1, 2024, which include 2025 riders. It also specifies the AMI data domain covering the period from January 1 to December 31, 2024.
MURB, TOU - TOU volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive - Structural bill change = -1.1% note that technical sessions filed in 2024/2025 application report...
AI summary The document outlines the implementation of Time-of-Use (TOU) volumetric rates effective November 1, 2024, along with 2025 riders. It references a structural bill change of -1.1% and notes that technical sessions in the 2024/2025 application reported a -1.7% change. AMI data is collected from January 1 to December 31, 2024.
Current Metering & Systems Capabilities - Current systems are built around existing standard offer rates with alternative rates requiring programming and testing to implement. - More complex rates that vary from the framework of existing t...
AI summary The current metering and systems capabilities are based on existing standard offer rates. Implementing alternative rates requires programming and testing, with complexity and scale affecting the effort required. Current TVP rates include CPP and TOU rates, which have varying levels of automation, while the MURB rate requires more manual intervention and further automation for scalability.
Current Metering & Systems Limitations - The existing Customer Information System (CIS) is the most challenging to update and integrate due to its age and lack of product support. A capital project to replace CIS is under development. - NS...
AI summary The existing Customer Information System (CIS) is outdated and difficult to update, requiring a capital project for replacement. NS Power's current systems lack capabilities for net metering on time-varying rates, time-varying demand charges, multiple energy blocks, and new integrations.
al class customers shifting their load from on-peak to off-peak, NS Power is to assess removal of the demand charge, as well as any other changes, which could incentivize the participation of the commercial rate class customers in the TVP...
AI summary The document discusses assessing the removal of demand charges for commercial customers to encourage participation in the TVP Program, including a review of current demand charge implementation, comparison with standard tariffs, and analysis of load shifting impacts on demand charges.
customers shifting their load from on-peak to off-peak, NS Power is to assess removal of the demand charge, as well as any other changes, which could incentivize the participation of the commercial rate class customers in the TVP Program....
AI summary The document discusses the potential removal of demand charges to incentivize commercial customers to shift load from on-peak to off-peak periods through the Tariff Variation Process (TVP) Program. It also requests a summary of current demand charge implementation, comparisons with standard tariffs, and analysis of data and cost drivers related to demand charges.
Model Commentary Individual customer annual peak 15 minute interval occurrence is captured with the corresponding timestamp of that interval. For example, if Customer A achieved their winter peak interval consumption at 8:15 AM on Dec 14th...
AI summary The Model Commentary discusses the capture of individual customer annual peak 15-minute intervals, using a specific example of Customer A achieving their winter peak at 8:15 AM on Dec 14th 2024. It references an AMI data sample of 10,479 commercial customers on Rate 11 and includes visual data from charts related to the General Rate Class, TOU Tariff, and customers with winter peak occurrences during peak times (7-11 AM, 5-9 PM).
Power Factor Insights Calculates Average, Min, and Max Power Factor, helping identify customers with low efficiency for potential power factor correction. Data source: AMI Data + Feature Engineering Data source: CIS + ML Model Data source:...
AI summary The document discusses the calculation of average, minimum, and maximum power factor using data from AMI and feature engineering, as well as CIS and ML models, to identify customers with low efficiency for potential power factor correction.
Interval Data & AMI Meter Status Interval data and AMI status monitoring track total interval counts, compare actual vs. estimated read percentages, and provide information on whether a meter is a full-year, mid-year, or lateyear installat...
AI summary The text discusses interval data and AMI meter status monitoring, which tracks total interval counts, compares actual vs. estimated read percentages, and provides information on the installation timeline of meters.
Board Counsel Consultant, Synapse Energy Economics (Synapse, BCC) 3. Current Metering & Systems Limitations NS Power's presentation included a discussion of its current billing and metering system limitations, with the statement that these...
AI summary NS Power discussed limitations in its current billing and metering systems, noting they cannot support net metering customers on time-varying rates or implement time-varying demand charges without significant upgrades. Synapse requested details on the estimated timeframe for the Customer Information System (CIS) project and whether it would enable these features.
N-1-(i)TVP Year 4 Report Appendix A (Redline) - Refiled
13 passages
Definitions Adjusted Net Load The hourly net system requirement (MW) less all wind generation (MW) to October 2022 for Cohort 2 participants, November 2022 to October 2023 for Cohort 3 participants and November 2023 to October 2024 for Coh...
AI summary The document defines key terms such as Adjusted Net Load, which is the hourly net system requirement minus wind generation, and Snapback, which refers to load increases following a Time-of-Use peak period or Critical Peak Event. It also clarifies that customers in the Domestic rate class are referred to as Residential.
Evaluation Scope This evaluation pilot period (i.e. Phase 4) analyzes advanced metering infrastructure (AMI) data from November 1, 2020 – March 31, 2025. Each Phase, the pilot period shifts by 1-year; however, the prepilot period remains s...
AI summary The evaluation pilot period (Phase 4) analyzes AMI data from November 1, 2020, to March 31, 2025. The pilot period shifts by one year per phase, but the prepilot period remains static. The first year of a cohort's participation in the TVP pilot includes a limited evaluation during the winter period, while subsequent evaluations cover a full year. Evaluation metrics are divided into 'Load & Usage' and 'Economic' categories.
Advanced Metering Infrastructure The necessary AMI 15-minute interval data are aggregated to eight 24-hour load profiles for control group selection and hourly data for regression modelling (treatment and control). Cleaning steps specific...
AI summary The document discusses the aggregation of 15-minute interval AMI data into eight 24-hour load profiles for control group selection and hourly data for regression modelling, with specific cleaning steps outlined in Table 68.
Property Property Valuation Services Corporation (PVSC) is an independent, not-for-profit organization in Nova Scotia responsible for assessing all property in the province under the Nova Scotia Assessment Act. For TVP, PVSC data provides...
AI summary PVSC is an independent, not-for-profit organization in Nova Scotia responsible for property assessments under the Nova Scotia Assessment Act. It provides data such as year built, living area, and housing style for TVP, mapped to individual customers using latitude and longitude.
System & Wind Load System load and wind load used for adjusted net load calculations are respectively sources sourced from NS Power's publicly available OASIS dataset 16F [17](#page-113-2) and NS Power's internal dataset.
AI summary The document discusses the sources of system load and wind load data used for adjusted net load calculations, referencing NS Power's OASIS dataset and an internal dataset.
This bottom-up approach of individually matching treatment and control group customers at the most granular sub-group level ensures the best possible method to quantify effects at the various subgroupings without sacrificing accuracy when...
AI summary This text describes a method for quantifying effects by matching treatment and control group customers at a granular level using load similarity metrics derived from Advanced Metering Infrastructure (AMI) data. The metric, SM_AMI, is calculated using average and peak hourly consumption data during different time periods.
Table 68: Treatment and Control Interval Data Cleaning Steps Step AMI Data Selection – Cloud scale query to retrieve AMI data for treatment and all potential control customers A Limit to data to the pre-pilot period for each cohort respect...
AI summary This section outlines data cleaning steps for AMI data selection and control group selection in a regulatory proceeding. It specifies criteria such as limiting data to the pre-pilot period, using actual data, enabling OTA billing, and excluding seasonal and net metering customers.
III.2.2 Heating Classification Customers are first classified into three categories (Primary, Secondary, Non-Electric) based on their electricity consumption as visualized i[n Figure 48.](#page-117-1) Figure 48: Example of Heating Correlat...
AI summary Customers are classified into primary, secondary, and non-electric categories based on their electricity consumption and correlation with temperature data. The model uses AMI data and weather station temperatures during overnight hours to determine heating types, with specific thresholds for correlation coefficients and consumption levels.
III.3 Regression Models The regression models are divided into three sections, Residential TOU & CPP, Commercial TOU & CPP and MURB TOU. Notably, these regression models utilize hourly AMI data on a per-customer basis. This shift from prev...
AI summary The regression models are categorized into Residential TOU & CPP, Commercial TOU & CPP, and MURB TOU. They use hourly AMI data on a per-customer basis, leading to smaller margins of error compared to earlier TVP evaluation reports due to larger sample sizes in Phase 4.
r. For daily electricity usage impact analysis, Load it in equation [(7)](#page-123-0) is replaced by Energyit which is the energy consumption in kWh/day by customer ' i' at time ' t' . TVP customers in Eco Shift will be evaluated from Dec...
AI summary The document discusses modifications to the Load & Usage Impact Regression Model for TVP customers in the Eco Shift program, including the addition of a binary variable for enrolment and a random intercept to account for small participant numbers and heterogeneity. A mixed-effects model was selected for improved accuracy.
III.3.3.2 Economic Impact Regression Model The same regression as equations (15), (16) and (17) was used for bill saving and price elasticity analysis for MURB TOU. In addition to the metrics calculated for commercial TOU and CPP, the effe...
AI summary The economic impact regression model was applied to MURB TOU for bill saving and price elasticity analysis. The model uses 15-minute average AMI interval data to estimate demand, serving as a proxy for billed demand in TVP EM&V.
Stage 2 AMI data from the neighbourhood selection pool candidates will be aggregated to average hourly interval consumption and peak hourly interval consumption during Winter and non-Winter, weekdays and weekends, creating two sets 96 data...
AI summary Stage 2 involves aggregating AMI data to calculate a similarity metric for treatment and control customers, using the ten lowest metrics to identify controls. This balances E1 program participation by third-party consultants with access to the E1 dataset.
IV.2.2 Phase 2 To account for customers who've modified their heating source from their original rate code classification, the heating classification methodology was modified to use AMI and nearby weather station temperature data for indiv...
AI summary The heating classification methodology was modified in Phase 2 to use AMI and weather station data for individual premises, focusing on days with average temperatures below 10 °C. Customers are classified as primary or secondary electric based on the correlation between consumption and temperature, along with a mean consumption threshold during the top 20 consumption days.
N-2TVP Year 4 Report Appendix A (Clean) - Refiled
10 passages
Definitions Adjusted Net Load The hourly net system requirement (MW) less all wind generation (MW) Table 15: Change in Daily Electricity Usage (kWh/day) by Cohort for Residential TOU Participants 31 Table 16: Change in Daily Electricity Us...
AI summary The document contains definitions and tables related to electricity usage, tariffs, and demand response programs. It includes data on adjusted net load, time-of-use (TOU) and critical peak pricing (CPP) events, and their impact on residential electricity consumption and bills.
Evaluation Scope This evaluation pilot period (i.e. Phase 4) analyzes advanced metering infrastructure (AMI) data from November 1, 2020 – March 31, 2025. Each Phase, the pilot period shifts by 1-year; however, the prepilot period remains s...
AI summary This document outlines the evaluation scope for Phase 4 of the advanced metering infrastructure (AMI) pilot period, which analyzes data from November 1, 2020, to March 31, 2025. The pilot period shifts by one year per phase, while the prepilot period remains static for each cohort.
Advanced Metering Infrastructure The necessary AMI 15-minute interval data are aggregated to eight 24-hour load profiles for control group selection and hourly data for regression modelling (treatment and control). Cleaning steps specific...
AI summary The document outlines the process of aggregating 15-minute interval AMI data into eight 24-hour load profiles for control group selection and hourly data for regression modelling, with specific cleaning steps defined in respective sections.
This bottom-up approach of individually matching treatment and control group customers at the most granular sub-group level ensures the best possible method to quantify effects at the various subgroupings without sacrificing accuracy when...
AI summary The text describes a method for matching treatment and control groups at a granular level using load similarity metrics derived from AMI data. The similarity metric, SM_AMI, is calculated using average and peak hourly consumption data from winter and non-winter periods, creating 96 data points per customer.
Table 68: Treatment and Control Interval Data Cleaning Steps Step AMI Data Selection – Cloud scale query to retrieve AMI data for treatment and all potential control customers A Limit to data to the pre-pilot period for each cohort respect...
AI summary This section outlines data cleaning steps for AMI data selection and control group selection in the context of a pilot program. It includes steps such as limiting data to the pre-pilot period, selecting only actual data, and excluding seasonal and net metering customers.
III.2.2 Heating Classification Customers are first classified into three categories (Primary, Secondary, Non-Electric) based on their electricity consumption as visualized i[n Figure](#page-117-1) 48. Figure 48: Example of Heating Correlat...
AI summary Customers are classified into primary, secondary, and non-electric categories based on their electricity consumption and heating patterns. The classification uses AMI data and temperature data from nearby weather stations, focusing on overnight hours when temperatures are below 10°C. A correlation coefficient 'R' is used, where lower values indicate a higher likelihood of electric heating.
III.3 Regression Models The regression models are divided into three sections, Residential TOU & CPP, Commercial TOU & CPP and MURB TOU. Notably, these regression models utilize hourly AMI data on a per-customer basis. This shift from prev...
AI summary The regression models are divided into three sections: Residential TOU & CPP, Commercial TOU & CPP, and MURB TOU. They use hourly AMI data on a per-customer basis, leading to smaller margins of error due to increased sample sizes in Phase 4.
Attachment III: Methodology In addition to the metrics calculated for commercial TOU and CPP, the effect on demand was evaluated. This analysis estimates demand using 15-minute average calculated every 15 minutes (i.e. AMI interval data),...
AI summary This section describes the methodology used to evaluate the effect on demand from commercial Time-of-Use (TOU) and Critical Peak Pricing (CPP) programs. It uses 15-minute average AMI interval data as a proxy for billed demand, which is calculated every 5 minutes.
Stage 2 AMI data from the neighbourhood selection pool candidates will be aggregated to average hourly interval consumption and peak hourly interval consumption during Winter and non-Winter, weekdays and weekends, creating two sets 96 data...
AI summary Stage 2 of the proceeding involves using AMI data to calculate a similarity metric between treatment and control customers, with the ten lowest metrics identifying the top ten controls. This process balances E1 program participation by third-party consultants.
IV.2.2 Phase 2 To account for customers who've modified their heating source from their original rate code classification, the heating classification methodology was modified to use AMI and nearby weather station temperature data for indiv...
AI summary The heating classification methodology was updated to use AMI and weather data for premises with temperatures below 10 °C. Customers are classified as primary or secondary electric based on consumption correlation to temperature and a mean consumption threshold during the top 20 consumption days.
N-3Time-Varying Pricing (TVP) Pilot Year Five (2025/26) Evaluation Report (Appendix A)
11 passages
Summary of Year Five Evaluation Results The Year Five Report represents the second evaluation of the MURB TOU Tariff since its implementation in November 2024. In the 2025/26 Season, all ten enrolled MURB customers continued participation...
AI summary The Year Five Evaluation of the MURB TOU Tariff indicates modest load increases during peak periods, with no significant bill savings observed during the evaluated Winter period. The evaluation was limited by data availability due to a cybersecurity incident, and findings are based on a small participant population. The results are consistent with the tariff's design to encourage bill savings outside of Winter peak conditions.
Abbreviations AMI Advanced Metering Infrastructure ANL Adjusted Net Load CPP Critical Peak Pricing DiD Difference-in-difference DOM Domestic Rate Class DR Demand Response EM&V Evaluation Measurement & Verification GEN General Rate Class HD...
AI summary The text provides a list of abbreviations and their corresponding full forms used in the Nova Scotia regulatory proceeding. These terms include technical, regulatory, and operational terms relevant to energy management and utility operations.
Definitions Adjusted Net Load The hourly net system requirement (MW) less all wind generation (MW) Figure 2: (a) The Hourly-Averaged Load Shapes during Winter for MURB TOU including Pre Treatment, Post-Treatment, Pre-Control and Post-Contr...
AI summary The document provides definitions and figures related to energy load shapes, temperature variations, and demand reduction during winter months for MURB TOU participants. It includes visual data on load reduction and net load distribution across different time periods.
Nova Scotia Power (NS Power, Company) launched the Time-Varying Pricing (TVP) Tariff Pilot on November 1, 2021, with the purpose of encouraging customers to shift load from Winter peak periods to Winter off-peak periods. These tariffs pres...
AI summary Nova Scotia Power launched a Time-Varying Pricing (TVP) Tariff Pilot in 2021 to shift customer load from winter peak to off-peak periods. The fifth annual report covers April 1, 2025, to March 31, 2026. A cybersecurity incident affected data collection, and temporary modifications were applied to TVP Tariffs due to operational constraints. AMR meters were installed for MURB TOU participants, but data collection for the control group was incomplete, affecting evaluation results.
Note: Throughout this report, statistically significant results will be displayed in tables with black font, whereas statistically insignificant results will be displayed in grey font. MURB TOU participants demonstrated statistically signi...
AI summary The analysis of MURB TOU participants shows statistically significant increases in electricity use during snapback periods and during high Adjusted Net Load hours. However, the overall increase in energy use during Winter did not lead to a statistically significant increase in bills. The study also notes limitations due to incomplete data coverage and small sample size, affecting the conclusiveness of findings.
Introduction Time-Varying Pricing (TVP) is a scalable customer-focused demand response (DR) program. In Nova Scotia, the TVP pilot enrolment has grown significantly since it began in November 2021. Since its inception, the TVP pilot has of...
AI summary Time-Varying Pricing (TVP) is a demand response program in Nova Scotia that offers Time-of-Use (TOU) and Critical Peak Pricing (CPP) tariffs. Due to a cyber incident, these tariffs were temporarily paused during the 2025/26 Winter, except for the MURB TOU Tariff, which continued with AMR meters. The evaluation of the program is limited to the MURB TOU Winter-period performance, primarily February and March 2026.
Evaluation Scope This evaluation pilot period (i.e. Phase 5) analyzes both advanced metering infrastructure (AMI) and AMR interval data from November 1, 2023 to March 31, 2024 (MURB TOU Pre-Pilot) and November 1, 2025 to March 31, 2026 (Pi...
AI summary The evaluation pilot period (Phase 5) analyzes advanced metering infrastructure (AMI) and AMR interval data during specific timeframes, focusing on MURB TOU during the Winter period. The evaluation includes two impact categories: 'Load & Usage' and 'Economic', with detailed metrics summarized in Table 3.
Table 8: Change in Daily Electricity Usage (kWh/day) for MURB TOU Participants Parameters Winter Winter Mo nths Parameters Overall January February March November December Avg. Usage Reduction (kWh/day) a -21.2 ± 17.5 -104.7 ± -28.4 ± 18.9...
AI summary Table 8 shows the change in daily electricity usage (kWh/day) for MURB TOU participants during winter months. The data indicates mixed results, with some months showing a reduction in usage and others showing an increase. The significance of the results is also noted, with some months showing statistically significant changes.
Table 15: Top 88 ANL Hours 2025/26 Rank Date Start Time Load - Wind (Adjusted Net Load) (MW) % of Maximum Load Halifax Temp. (°C) MURB TOU AM Peak / PM Peak / Off Peak 1 25-Jan-26 5:00 PM 2366.8 100.0% -15 PM 2 25-Jan-26 6:00 PM 2346.5 99....
AI summary Table 15 presents the top 88 Adjusted Net Load (ANL) hours for 2025/26, detailing dates, times, load levels, temperature, and peak periods. The data shows peak load times and corresponding temperatures, with the highest load recorded at 2366.8 MW on January 25, 2026, at 5:00 PM.
MyEnergy Insights - The Customer Energy Management system (M10164, CI C0021839) also referred to as MyEnergy Insights – included the implementation of TVP tariffs. - MyEnergy Insights allowed customers to gain insights and manage their ene...
AI summary MyEnergy Insights is a customer energy management system that provides users with insights into their energy usage, enabling informed decisions about energy use and rates. The system, which includes TVP tariffs, is expected to be restored by the end of Q3 2026.
Data Aggregation This year, the load impact regression modeling uses hourly AMI data rather than customer-level aggregated AMI data by peak period, which was used in Phases 1, 2, and 3. The use of hourly AMI data resulted in an increase in...
AI summary The load impact regression modeling in Phase 4 uses hourly AMI data instead of aggregated data by peak period, increasing the sample size and reducing the margin of error compared to earlier TVP evaluation reports.