Abstract
With the progressive advancement of the smart grid paradigm, electricity systems worldwide are deploying advanced metering technologies in residential sectors. Smart meters can monitor and process the electricity use of households at very high sampling rates. The availability of hundreds of thousands of time-series load profiles opens the possibility of applying clustering methods for grouping consumers with similar consumption patterns.
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