Topic:"Electric Resource Assessment Model" in M11108

L INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 9: Annual HDD and CDD Over Time 2 3 4 5 Based on stakeholder feedback received in 2022, both a lagged average temperature and 6 wind speed were assessed for their impact on...

AI summary The 2023 Load Forecast Report assesses the impact of lagged average temperature and wind speed on peak loads using linear regression models. Analysis of 10 years of winter load data (November-March) incorporates variables like day of week, wind speed, and temperature averages, with results showing a negative temperature coefficient indicating increased load during colder periods.

Page 31 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED

AI summary The 2023 Load Forecast Report provides an analysis of projected electricity demand, incorporating factors such as Heating Degree Days (HDD) and Cooling Degree Days (CDD), and is part of a larger regulatory proceeding involving Nova Scotia Power and the Nova Scotia Utility and Review Board.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Small Business Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-5: 2 3 Please reference Page 62 and Figure 44. 4 5 (a) Please provide a “backcast” of commercial sales u...

AI summary NSPI explains that the 2023 commercial sales growth reflects post-pandemic recovery, while the 2024 decline stems from customer migration to RTR participants. The SAE model for commercial classes is class-specific, with data available in the 2023 Load Forecast Report attachments.

3.5 3.2 2.7 3.6 3.5 2.5 3.8 3.9 2.2 2.1 4.5 4.3 3.4 3.3 3.6 3.3 4.6 5.4 3.4 2.5 Responses of 'Don't know' were excluded from calculation of the mean. 16 Narrative Research . NAV002-1000 Date Filed: August 14, 2019 Page 16 of 54 REDACTED (C...

AI summary The text presents numerical data and references a load forecast report and an energy efficiency and demand response potential study, indicating a focus on energy forecasting and efficiency initiatives in Nova Scotia. The data appears to be part of a regulatory proceeding, likely related to energy planning and resource assessment.

improve the transparency and accuracy of the load forecast. There is still more to do; but overall, NSPI’s Report is very well done and better explains the underlying factors driving the forecast. Synapse Energy Economics, Inc. Evidence Re...

AI summary Synapse Energy Economics, Inc. requests further clarifications and recommendations from NSPI regarding the 2023 load forecast, including the impact of heat pumps, electric vehicle batteries, and commercial electrification programs, as well as more detailed results from the SGNS project and clarification on DSM effects by sector.

on. 25 26 Request IR-36: 27 Appendix B: Small General Service Model (pp 9-14) 28 a. Please provide in electronic spreadsheet format the data and the statistical model 29 parameters and the full results used to produce the commercial model...

AI summary The document outlines requests for detailed data, models, and calculations related to energy usage variables (XHeat, XCool, XOther) and growth programs (PV, EV, DSM) from Synapse (NSPI). Requests include spreadsheet formats for statistical parameters, end-use intensity data, and derivations of growth program adjustments.