Statistical modelling of residential electricity consumption and electricity savings by end-use

摘要: Utilities require detailed end-use energy consumption for power system planning, load forecasting, marketing and demand side management. End-use refers to the of space heating, cooling, water lighting other specific uses as opposed total consumption. This report presents methodology results a residential study British Columbia, Canada. The used Conditional Demand Analysis (CDA) estimate Unit Energy Consumption (UEC) values several end-uses conservation measures. analysis is multivariate regression technique which combines utility billing data with weather information customer survey produce robust estimates.