Abstract
A methodology for estimating end-use load shapes using hourly whole-house metered load data, household demographic survey data, and weather data (temperature) is presented. Although the focus on the residential sector, the techniques developed can also be applied to the industrial and commercial sectors. The load shape for each member of a set of customers is first compressed into a small number of representative parameters. These are then related to customer characteristics, such as appliance holdings, demographic and socioeconomic data, and information on the dwelling. The results obtained show that the overall methodology provides an effective means for end-use load shape modeling and estimation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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