Load Assumptions A range of load conditions across the grid was studied, time-synchronized and correlated with weather. Of particular interest is the load, which may be much higher during extreme weather conditions than forecasted in the 2...
AI summary The document discusses load assumptions used in the analysis, including the combination of historical and synthetic load data to capture variability and align with LTRA forecasts. Scaling methods were applied to maintain weather variability while adjusting peak and energy values to match forecasted targets.
2033 Energy Margin Analysis Results The 2033 case analysis mirrors the 2024 analysis but accounts for continued load growth, retirements, and new resource additions. The assumptions for load growth, retirements, and resource additions were...
AI summary The 2033 Energy Margin Analysis builds on the 2024 analysis, factoring in continued load growth, retirements, and new resources. Projections from the 2023 LTRA inform the assumptions. Table 6.4 outlines maximum resource deficiencies across TPRs and weather years, with purple highlighting indicating deficiencies in both summer and winter.
The synthetic and historical load profiles were scaled to align the median energy and peak loads from the weather years to the targets at the LTRA assessment area level. Annual peak loads for each TPR by weather year are shown in [Table B....
AI summary The document discusses the scaling of synthetic and historical load profiles to align median energy and peak loads with targets at the LTRA assessment area level. Annual peak loads for 2024 and 2033 are presented in tables and figures, showing variability due to weather conditions. Load values exclude behind-the-meter photovoltaic (BTM PV) energy.