Topic:"Demand Side Management Resource Plan" in M12349

model to determine what level of DSM is already 24 included in other variables. Assuming future DSM activities are similar to historic activities, the 25 coefficient applied to historic DSM will also apply to the forecast DSM. This does no...

AI summary The text discusses a methodology for forecasting DSM activities, assuming future activities will align with historical trends. It notes that the approach accounts for DSM already captured in other variables and is not specific to DSM. Two filings related to DSM resource plans are cited.

2025 Load Forecast Report (NSEB M12349) NSPI Responses to Synapse Information Requests NON-CONFIDENTIAL 1 (b) Please see the table below. The values for 2025 are from E1’s supply agreement, while the 2 values from 2026-2035 are from the ba...

AI summary The 2025 Load Forecast Report provides energy and demand projections from 2025 to 2035, sourced from E1’s supply agreement and the E1 Potential Study. The base case aligns with current DSM levels and is used in the IRP forecast, with no changes to the forecast for Annual DSM Savings in the 2025 LFR compared to the 2024 LFR except for the addition of a 2035 forecast value and updated regression model coefficients.

These adjustments are applied annually and presented in Figure 46 of the 2025 Load Forecast report as “Hybrid Adjust.” Table 6. NSPI’s analysis of the impacts of hybrid heating on heat pump (HP) load E3 HP Change in NS Power Change in NS P...

AI summary The document discusses annual adjustments to load forecasts, highlighting discrepancies between NSPI's and E3's assumptions about hybrid heating saturation rates and efficiency. NSPI's 2025 Load Forecast shows significant energy and peak load changes, while Synapse critiques the validity of comparing models with differing assumptions.

ater heaters are not incorporated into the forecast, citing still-limited uptake (163 installations in 2022 and 141 in 2023, per EfficiencyOne’s DSM evaluation) despite an available rebate of $400. 30 On the demand response side, NSPI and...

AI summary The document discusses NSPI's load forecasting challenges, noting limited adoption of heat pump water heaters despite rebates. It highlights NSPI and EfficiencyOne's collaboration on direct load control of water heaters, with pilot results showing peak demand reductions. The recommendation emphasizes modeling heat pump water heaters separately in forecasts due to their distinct load characteristics, countering NSPI's argument about low current uptake.

Date Filed: 07/28/2025 Synapse (NSPI) Page 5 of 12 1 ii. How did the potential study compare to actual demand side management results 2 for the years 2021-2024? Does NS Power and/or E1 believe that the 2019 3 Potential Study accurately pre...

AI summary The text outlines requests for information regarding the accuracy of the 2019 Potential Study on demand-side management (DSM), solar generation data, and new technologies like home batteries. It questions whether DSM projections were met, seeks updates to the study, and asks about assumptions, solar capacity factors, battery cost declines, and compensation for energy export. Topics include DSM evaluation, solar forecasting, and emerging technologies.

is morning, and 34 which is evening peak? 35 i) What do the data points represent? 36 37 Request IR-13: 38 Refer to Report, Section 10.3, End Use Peak Estimates, pages 86-87 of 94 and respond to the 39 following: 40 41 For Figures 69 (on p...

AI summary The text requests clarification on why EV peak contribution increases more for Commercial End-Use than Residential from 2025–2034, citing figures 69 and 70 (pages 86–87) and requesting the associated workbook. The inquiry focuses on demand-side management and peak load forecasting.

-4- increasing on a per EV basis more so than the previous Reports. This forecast is worth revisiting for the 2026 Load Forecast Report to confirm accuracy. In the 2023 decision, the Board did not agree with NS Power’s attribution of the C...

AI summary The document discusses load forecast variances, the Board's rejection of NS Power's pandemic and heat pump explanations for 2022 NSR discrepancies, and directives to re-evaluate unexplained variances. It notes reduced unexplained variance in 2024, declining demand projections due to RtR adoption and solar growth, and a 7.3% general demand decline by 2035.

mendation #8, NS Power explained that the RtR forecast is based on the expectations developed by the Licensed Retail Supplier and is the best available information to be included in the Load Forecast. In response to Synapse’s recommendatio...

AI summary NS Power responds to recommendations regarding load forecasting, integrated resource planning, and rate assumptions. It defends including municipal utilities' full load, using internal forecasts for rate projections, and disagrees with recommendations on DER deployment and EV forecasts, citing data alignment and annual evaluation practices.