Topic/Matter Intersection

Topic:"Forecasting Methodology" in M12579

Matter: EfficiencyOne - 2025 Q3 Demand Side Management (DSM) Report
4 passages 1 document

Forecasting Methodology across all matters →

E-1Report 4 passages
2. 2023-2025 DSM PLAN PERIOD FORECAST AND 2025 YEAR-END FORECAST p. pp. 3-4
2. 2023-2025 DSM PLAN PERIOD FORECAST AND 2025 YEAR-END FORECAST

AI summary This section outlines the 2023-2025 Demand Side Management (DSM) plan period forecast and the 2025 year-end forecast, focusing on energy efficiency and demand response initiatives in Nova Scotia. Key entities involved include Efficiency Nova Scotia (ENS) and regulatory bodies.

1 4. RESIDENTIAL SECTOR p. pp. 14-15
1 4. RESIDENTIAL SECTOR - 2 E1's Residential sector consists of the following two programs: - 3 Efficient Product Rebates; and - 4 Existing Residential - 5 Note: The New Home Construction program component under the New Residential program...

AI summary The Residential sector under E1 includes Efficient Product Rebates and Existing Residential programs. The New Home Construction program ended in 2023. Q3 achieved 8.7 GWh energy savings and 3.1 MW peak demand savings. E1 forecasts meeting 2025 demand savings target but expects to undershoot energy savings target, though meeting three-year targets. Tables 5 and 6 provide details.

12 Table 7: BNI Efficient Product Rebates p. p. 21
12 Table 7: BNI Efficient Product Rebates BNI EFFICIENT PRODUCT REBATES (2025) BNI Efficient Product Rebates Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) Unit Cost ($/kWh) 2025 Plan as Approved 38.5 7.2 8.4 0.22 2025 Ye...

AI summary Table 7 shows BNI Efficient Product Rebates data for 2025, including energy and demand savings forecasts versus actuals. Energy and demand savings are projected to be lower than approved targets due to E1 managing program spending to stay within the $173 million investment level for the 2023-2025 DSM Plan period. Strong results were reported in Q1 and Q2.

1.1 Year-end forecast methodology p. p. 34
1.1 Year-end forecast methodology E1's 2025 year-end forecast expenditures by rate class is the sum of rate class allocations calculated by program component. For each program component, the spending by rate class percentages from the prev...

AI summary E1's 2025 year-end forecast methodology calculates expenditures by rate class using spending percentages from 2022-2024 applied to 2025 forecast costs. This approach aims to ensure accuracy by leveraging recent data and trends.

Disclaimer: These summaries were generated by AI from the filings they describe. We take care to make them accurate, but errors are possible - and they aren't advice. Only the filings themselves are the record: if you're relying on something here, confirm it against the source documents or the Nova Scotia Energy Board's own record. Full disclaimer →