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Using conditional demand analysis to estimate residential energy use and energy savings
Panel: Panel 6: Products and appliances
Author:
K. H. Tiedemann, BC Hydro, Canada
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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Panels of
Panel 2: Strategies and general policies
Panel 1: The foundations of a future energy policy. Longer term strategies
Panel 4: Monitoring and evaluation
Panel 3: Local and regional activities
Panel 5: Energy efficient buildings
Panel 6: Products and appliances
Panel 7: Making industries more energy efficient