Topic:"Demand Side Management Resource Plan" in M12861

gression (via 24 the historic data) and in the projected end-use data. The effect of DSM on non-sales related inputs 25 also makes it unrealistic to add historic DSM into past sales to produce a “without DSM” forecast 26 – the impact of DS...

AI summary The text discusses the challenges of incorporating historical demand-side management (DSM) data into load forecasts, emphasizing the need to avoid double counting and the impact of DSM on non-sales related factors such as price and appliance efficiency. The approach used involves introducing cumulative historical DSM savings into the regression model.

re still being evaluated. 21 22 NS Power also worked with E1 on a two-phase pilot project to investigate automatic and manual 23 control of various loads for commercial and industrial (C&I) customers, ultimately becoming E1’s 24 Smart Syne...

AI summary NS Power collaborated with E1 on a two-phase pilot project to explore automatic and manual load control for C&I customers, leading to the Smart Synergy BNI Demand Response program. Customer recruitment was scaled during 2023 for the 2023/2024 winter season, adding 67 customers. Results from that season were reported in E1’s 2024 DSM Programs Evaluation Report.

Request IR-3: Reference: Exhibit N-1, Section 10.4. (a) Please provide tables summarizing NS Power's forecasts for demand reduction and actual demand reduction due to Direct Load Control (DLC), Time Variable Pricing (TVP) and business, non...

AI summary The request asks NS Power to provide tables summarizing forecasts and actual demand reductions from Direct Load Control, Time Variable Pricing, and BNI Curtailment, including year-to-date values for 2026.

V. Demand Reduction Forecasts - Q: Please summarize the demand reduction forecasts developed by NS Power. - A: NS Power forecasts demand reduction due to Direct Load Control (DLC), Time Variable Pricing (TVP) and business, non-profit and i...

AI summary NS Power forecasts demand reduction from DLC, TVP, and BNI programs, based on the 2022 Evergreen IRP and updated DSM plans. However, the DLC forecast is criticized for overestimating actual reductions over the past four years, with a recommendation to reduce the 2032 DLC forecast to 4 MW until evidence supports a higher forecast.

1 Table 6: Business, Non-Profit and Industrial (BNI) Curtailment Program Forecasts from 2021- 2 2026 Reports (MW) Actual 2021 2022 2023 2024 2025 2026 Demand Reduction 2021 0 0.0 2022 1 0 0.0 2023 2 1 1 2.4 2024 4 2 2 0 8.0 2025 6 4 4 1 1...

AI summary Table 6 presents forecasts for the BNI Curtailment Program from 2021 to 2036, showing demand reduction in megawatts. The data outlines the expected participation and reduction levels over time. Section VI discusses the damping of heating and cooling trends.

31 Request IR-3: 33 Reference: Exhibit N-1, Section 10.4. 35 (a) Please provide tables summarizing NS Power's forecasts for demand reduction and 36 actual demand reduction due to Direct Load Control (DLC), Time Variable Pricing 37 (TVP) an...

AI summary The document requests NS Power to provide tables summarizing demand reduction forecasts and actual demand reduction for Direct Load Control, Time Variable Pricing, and BNI Curtailment, including year-to-date values for 2026.

34 Request IR-3: 35 Refer to M12861, Exhibit N-1, the Report, the 2027–2031 DSM Plan, and respond to the 36 following: 37 38 a) The Report states that strategic electrification now falls within the DSM definition, but no 39 strategic elect...

AI summary The request asks NS Power to explain why strategic electrification initiatives are not included in the 2027–2031 DSM Plan, despite being part of the DSM definition, and to provide analyses and data that could support their inclusion.

, Page 29 of 105, Lines 14-21. 3 Exhibit N-7(C)(i), NSPI Response to Synapse IR-1, Attachment 01 - Confidential 4 Exhibit N-1, 2026 Load Forecast Report, Page 29 of 105, Line 17. financing, likelihood of completion, or potential schedule d...

AI summary The Small Business Advocate (SBA) argues that NSPI's 2026 Load Forecast Report does not sufficiently justify the chosen 10% decline rate and highlights housing development as a major source of uncertainty. The SBA recommends that the Board require NSPI to provide a lower-housing sensitivity case and updated development pipeline tracking in future forecasts.