Topic:"Capacity Costs" in M12861

Year DLC CPP BNI Curtailm Grand Total with ELCCJan Feb Dec Estimated ELCC 2021 0.0 0.0 0.0 0.0 0.48 2022 0.0 1.0 0.0 0.5 0.5 0.5 0.5 2023 0.2 1.0 2.8 1.9 1.9 1.9 1.9 2024 2.9 2.0 7.1 5.8 5.8 5.8 5.8 2025 7.1 3.2 10.7 10.1 10.1 10.1 10.1 20...

AI summary The text presents a table with data spanning from 2021 to 2036, showing values for DLC, CPP, BNI Curtailm, and Estimated ELCC. The data reflects changes over time, with increasing values in most years. The table is partially redacted, indicating some information may be confidential.

Year Month Pred 2023 7 1204.3 2023 8 1159.3 2023 9 1083.0 2023 10 1179.2 2023 11 1560.4 2023 12 1803.5 2024 1 1786.2 2024 2 1904.9 2024 3 1786.4 2024 4 1458.4 2024 5 1172.8 2024 6 1167.4 2024 7 1252.1 2024 8 1277.1 2024 9 1141.0 2024 10 12...

AI summary The text presents a table of monthly predicted values (Pred) for various years from 2023 to 2028. The values show fluctuations over time, with peaks in the months of December and troughs in the months of May and June. These figures may represent forecasts for energy demand, production, or other metrics relevant to the regulatory proceeding.

356.3 1511.8 Historic Sales Previous Forecast Current Forecast Current Forecast Firm Weather Normalized Peak 2031 356.9 1493.9 355.6 1509.6 2700 2032 355.4 1488.6 354.9 1507.5 2033 354.1 1483.6 354.4 1505.6 2500 2034 352.1 1478.8 353.1 150...

AI summary The text presents historical sales, previous and current forecasts for various years, including peak load calculations and weather-normalized peak values, with data spanning from 2031 to 2036 and a peak value of 2700.

2 (c) The factors listed were not considered explicitly in the adjusted forecast. Please refer to 3 Synapse IR-5 for additional information on the new housing estimates. 1 Request IR-4: 18 19 20 21 22 23 1. Day-ahead planning process forec...

AI summary The document discusses factors not considered in the adjusted forecast, referencing Synapse IR-5 for new housing estimates. It outlines the day-ahead planning process and capacity scarcity due to generation or transmission constraints. The Consensus Agreement and CPP Tariffs are mentioned, highlighting NS Power's discretion in scheduling CPP events to maximize pilot program learnings while balancing system efficiency and customer experience.

Request IR-5: - Economic Information (Section 4.4, p. 28-34) - a. Why did NS Power not consider the impact of trade tariffs in its load forecast? - b. Please explain in detail how NS Power understands the potential impacts of trade tariffs...

AI summary Request IR-5 seeks clarification on NS Power's load forecast, focusing on the impact of trade tariffs on economic assumptions, the accuracy of customer addition projections, and the basis for changes in housing completion forecasts. The questions aim to understand the quantitative reasoning behind NS Power's assumptions and forecasts.