Data-driven targeting of energy programs using time-series data

摘要

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.