Using a rule-based algorithm to disaggregate end-use load profiles from premise-level data

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.<
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