Computing Electricity Consumption Profiles from Household Smart Meter Data

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
In this paper, the authors investigate a critical problem in smart meter data mining: computing electricity consumption profiles. They present a simple, interpretable and practical profiling framework for residential consumers, which accounts for variations in electricity consumption at different times of day and at different external temperatures. Their approach is to isolate the effect of external temperature on electricity consumption and apply a time-series autoregressive model to the remaining signal. The proposed profiles may be used for making personalized energy-saving recommendations, detecting outliers and generating very large realistic data sets for testing the scalability of smart meter data management systems.
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