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Clustering of smart meter data for disaggregation

This research addresses privacy concerns in smart meter data. Smart meter data is analyzed for learning normal consumer usage of electricity. Clustering technique such as Fuzzy C-Means is used to disaggregate and learn energy consumption patterns in smart meter data. Results of experimentation with real world meter data demonstrate that it is realistically possible to profile the electricity consumption behavior of consumers analyzing their usage captured by smart meters.