This paper describes a simple method to estimate hourly cooling
demand from historical utility load data. It compares total hourly
demand to demand on cool days and compares these estimates of total
cooling demand to previous regional and national estimates. Load
profiles generated from this method may be used to estimate the
potential for aggregated demand response or load shifting via cold
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