Statistical Modelling of Residential Electricity Consumption and Electricity Savings by End-Use

K.H. Tiedemann (Canada)

Keywords

Enduse consumption, conditional demand analysis, statistical modelling.

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 specific uses as opposed to total consumption. This report presents the methodology and results of a residential end-use study for British Columbia, Canada. The 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.

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