Abstract: A method for enrolling utility customers in utility demand response or energy efficiency programs based on time-series consumption data includes collecting from smart meter sensors time-series utility consumption data from individual utility customers, extracting features from the consumption data, generating a probabilistic response model for each customer representing a relationship between the extracted features and customer program performance by estimating parameters of a response distribution, solving an optimization problem for each customer using the estimated response distribution to achieve a targeting objective, and enrolling selected customers in programs based on the solution to the optimization problem.

Abstract: 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.