Topic:"Energy Efficiency Financing" in M12932

The methodology is primarily composed of two components: control group selection and regression modelling. Control group selection includes matching treatment customers with control customers based on a similar location (i.e. neighbourhood...

AI summary The methodology for evaluating program effectiveness involves selecting a control group based on location, heating type, and participation in other programs, and using regression models like DiD and DDD to analyze load profiles and TVP price signals. Commercial TOU and CPP tariffs use a semi-DiD approach due to challenges in control group selection.

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.

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's Time-Varying Pricing (TVP) Tariff Pilot, launched in 2021, encourages load shifting to reduce peak energy demand and system costs. The fourth annual report highlights continued customer enrollment growth, load reduction effects, and improved evaluation methods. The pilot demonstrates significant on-peak load reductions, particularly during high system load periods, and provides insights for future demand response strategies.

Energy Savings Programs E1 program participation14F [15](#page-112-1) and evaluation reports15F [16](#page-112-2) are used for control group selection balancing. Refer t[o Attachment III: Methodology](#page-111-0) (section III.2.4 E1 [Prog...

AI summary The document discusses the E1 program's use in control group selection balancing for the TVP evaluation, including the Eco Shift program's role in demand response through behind-the-meter technologies. It also references evaluation reports and matter numbers related to the DSM program.

The methodology is primarily composed of two components: control group selection and regression modelling. Control group selection includes matching treatment customers with control customers based on a similar location (i.e. neighbourhood...

AI summary The methodology involves control group selection based on location, heating type, and program participation, and uses regression models like DiD and DDD to evaluate program impacts. Commercial TOU and CPP tariffs use a semi-DiD approach due to control group limitations. Attachments provide further details.

Attachment V: Validation of Mixed Effects Regression [Control Group Selection)](#page-22-1) relative to residential customers. As such, the methodological choice to use a fixed effects regression model for commercial customers, like reside...

AI summary This section discusses the validation of a mixed effects regression model used in the Phase 4 evaluation to account for the heterogeneous nature of commercial load and baseloads. It contrasts this approach with the fixed effects model, which was deemed unsuitable for commercial customers due to the risk of significant Type II error.

Attachment VII: Board Directives and Consensus Agreement Commitments 2025/26 Season (M12499), NS Power provided an update on the status of these directives and commitments. In its letter on NS Power's December 2025 Year Four Report extensi...

AI summary The Board has approved NS Power's request to extend the filing date of the TVP 2024/25 EM&V report to June 30, 2026, and has deferred some directives and commitments to future sessions or the EM&V report. NS Power provided an update on the status of these directives as Attachment 1.

1 Methodology The methodology is primarily composed of two components: control group selection and regression modelling of load and economic impacts. This methodology in detail was filed as Attachments III to V to the Phase 4 TVP EM&V Repo...

AI summary The methodology for evaluating Time-Varying Pricing (TVP) involves control group selection and regression modeling. Control groups are matched based on location and load profiles, and a mixed-effects regression model using difference-in-differences (DiD) is applied. Data quality for Phase 5 is noted to be lower than in Phase 4, which may affect results.

to correct for this mismatch between control and treatment data, all treatment data without the corresponding control hourly usage data was removed from the analysis, refer to [Figure 9b](#page-35-0). Figure 9: Hourly Data Completeness in...

AI summary The analysis discusses data completeness for the Phase 5 MURB TOU EM&V analysis, highlighting that 60.2% of data was usable after removing unpaired treatment data. NS Power used a DiD regression approach similar to Phase 4 for reliability, despite incomplete control group AMI data.

Data & Reporting - Planning for Data Lake Reporting is still ongoing with and estimated completion date of October 30, 2026: - Potential changes in analytics tools - This may impact Phase 6 EM&V - The Phase 4 (2024/25) Evaluation Report wi...

AI summary Planning for Data Lake Reporting is ongoing with an estimated completion date of October 30, 2026. Potential changes in analytics tools may impact Phase 6 EM&V. The Phase 4 (2024/25) Evaluation Report will be filed by June 30, 2026, and the Phase 5 (2025/26) Evaluation report by July 31, 2026, which evaluates the MURB TOU Tariff for winter phase 5.