Utility customer segmenting according to consumption lifestyle features is performed by collecting from smart meter sensors time-series utility consumption data from individual utility customers, standardizing the consumption data by dividing the time-series data into daily consumption profiles, generating a consumption profile dictionary from the standardized data, encoding the standardized data using the dictionary, extracting consumption lifestyle features of the utility customers from the encoded data, and segmenting the customers based on the extracted features by clustering.
STATEMENT OF GOVERNMENT SPONSORED SUPPORT
 This invention was made with Government support under grant (or contract) no. DE-AR0000018 awarded by the Department of Energy. The Government has certain rights in the invention.