A rule-based algorithm that performs systematic, rule- based pattern recognition tests for appliance energy use over every individual measurement interval is discussed. The algorithm produces heuristic load profiles by applying the firm's proprietary rule-based disaggregation algorithm to premise-level load data. It combines the load data with information on end-use connected loads, customer appliance ownership data, and customer behavioral assumptions. The results of two validation studies that demonstrate that the algorithm can produce reliable load profiles for residential end-uses with large connected loads are described. Results of other assessments of the algorithm's validity are also discussed, and an application study is described.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Powers et al. (1991) studied this question.