1 Figure 29: PV Impact to Energy (cumulative) .............................................................................. 47 2 Figure 30: Potential Peak Impacts from Batteries ...............................................................
AI summary This document lists figures from a regulatory proceeding, covering topics such as PV energy impact, battery potential, end-use intensities, electricity price forecasts, and demand-side management (DSM) savings. The figures include historical and projected data on residential, commercial, and industrial energy use, electrification trends, and sales components.
Page 58 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2022 Load Forecast Report REDACTED 1 5.0 RESIDENTIAL SECTOR 2 3 The Residential sales forecast is generated as the product of a residential average use 4 forecast and a customer cou...
AI summary The residential sector's load forecast is based on average use and customer count projections. Growth in residential sales between 2019 and 2020 was influenced by increased home working due to COVID-19, while 2021 saw impacts from warm weather and ongoing pandemic effects. Figure 37 compares forecast and actual sales data for 2019, 2020, 2021, and 2022.
84) (335) Change 1.3% 4.9% 10.5% -3.1% -0.1% -6.8% 6.6% to load Res Sales = Existing Customer Load + New Customer Load + EV Load + Solar Load + RTR + DSM Existing customer load is calculated as Res Average Use (9,748 kWh/customer in 2022,...
AI summary The text discusses residential load forecasting, including the calculation of existing customer load based on average usage and the inclusion of variables such as heating, cooling, and energy efficiency savings in the forecast model. It also outlines the regression analysis used to estimate residential average use.