Using conditional demand analysis to estimate residential energy use and energy savings

Abstract

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