N-12025 Load Forecast Report + Appendices - Redacted
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8 0.0 2,573 1.5 2034F 11,236 0.6 2,618 1.8 2035F 11,365 1.1 2,672 2.0 2 3 DATE: June 27, 2025 Page 10 of 94 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2025 Load Forecast Report Redacted
AI summary The document is a redacted 2025 Load Forecast Report, part of a regulatory proceeding. It includes forecasted load data for years 2034F and 2035F, though specific values are obscured. The report's context relates to energy planning and infrastructure requirements.
Residential Commercial Industrial Municipal Total Year Sector Growth Sector Growth Sector Growth and Other Growth Losses Energy Growth GWh % GWh % GWh % GWh % GWh GWh % 2015 4,504 2.3 3,251 0.9 2,456 -2.6 197 -0.2 691 11,099 0.6 2016 4,264...
AI summary The table shows energy consumption trends across residential, commercial, industrial, and municipal sectors from 2015 to 2027, with varying growth rates and fluctuations, including significant declines in some years and increases in others.
VED) 2025 Load Forecast Report Appendix B Page 19 of 34 General Service Model Fit General Demand 2025-2035 Reconciliation The general demand class, which makes up the largest portion of the commercial sector, is forecast as gross total sal...
AI summary The document discusses the reconciliation of general demand load forecasts for 2025 and 2035, including adjustments for factors such as RTR, EV load, solar, and DSM. It highlights changes in load and the impact of various factors on overall demand.
N-8Evidence - Synapse
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The 2025 forecast predicts a 242 gigawatt-hour (GWh) decrease—2.1 percent—in the net system requirement (NSR) from 2025 to 2035. NS Power lays out the components of this change in Figure 59 of its report, as shown in Table 1. The “Model” g...
AI summary The 2025 forecast predicts a 2.1% (242 GWh) decrease in net system requirement (NSR) from 2025 to 2035, driven by electrification, EV growth, and new customers, offset by rooftop solar, DSM, and RTR sales. Hybrid heating adjustments further reduce NSR.
tize this effort as it works to refine its modeling of electric heating impacts. 25 2025 LFR Attachment 03 EO – Commercial General Intensities. “Efficiency” tab. 26 2025 Load Forecast, page 90. Synapse Energy Economics, Inc. Evidence Regar...
AI summary Synapse Energy Economics Inc. analyzes Nova Scotia Power’s 2025 load forecast, highlighting assumptions about electric water heater adoption, projected increases in XOther due to water heating usage, and the exclusion of heat pump efficiency improvements despite rebate programs. The analysis emphasizes the need for monitoring these assumptions and their impacts on residential energy demand.
r the forecast period as load migrates to RTR providers. Load for the other (large) category, which represents approximately two-thirds of the industrial load, is projected to remain essentially flat. The forecast projects increased electr...
AI summary The document discusses the forecasted load migration to RTR providers and the projected increase in industrial electrification. It notes that the industrial load is expected to remain flat for the majority of the sector, with a small increase in electrification by 2035. The forecast assumes current major customer operations and highlights uncertainties in the industrial forecast.
modeled peak resulting from these issues in the approach to assessing water heater and heat pump energy and peak effects, since NS Power uses an end-use approach to formulating its peak forecast. 57 3.3. Demand-side Management To develop i...
AI summary The document discusses NS Power's approach to forecasting peak load reductions from demand-side management (DSM) programs, including the use of an effective load carrying capacity (ELCC) of 48% and the adjustment of DSM targets from 2025 to 2028. It also references the Board's directive to update the Capacity Value Study for demand response and the potential challenges in incorporating the next ELCC study into the 2026 Load Forecast.
2035). NSPI is continuing to evaluate the potential impacts of the proposed hydrogen facilities and should continue to also assess the plausibility of all the listed scenarios and their combinations. As we did last year, we note that NSPI’...
AI summary The document highlights the need for NSPI to evaluate a range of future scenarios, particularly for heat pumps, EVs, DSM, and demand response, due to uncertainties in their adoption rates. It recommends developing low and high case scenarios in addition to the reference case for more accurate load forecasting.
ces. We strongly support NSPI’s new commitment to analyzing AMI data and encourage the utility to prioritize this effort as it works to refine its modeling of electric heating impacts. 3. We recommend that NSPI begin modeling heat pump wat...
AI summary The text emphasizes the importance of modeling heat pump water heaters as a separate end use technology in load forecasts, monitoring the impact of the carbon levy removal on EV sales, and updating solar installation projections. These actions are recommended to improve forecast accuracy and align with electrification goals.
ially for peak management. 7. NSPI should validate the use of new home construction as a proxy for customer growth, addressing concerns about potential shortcomings of this proxy variable. 8. We ask that NSPI reassess its modeling approach...
AI summary The document outlines several requests for NSPI to refine its load forecasting and modeling approaches, including validating proxies for customer growth, reassessing the impact of the pandemic on residential load, and considering the effects of solar, DSM, and industrial electrification on load forecasts. It also emphasizes the need to explore real-time rates and time-of-use rates to manage peak load increases.