Abstract: Methods and systems for metrics for energy saving and response behavior are disclosed. A method includes: receiving, by a computing device, for each of a plurality of energy users, consumption time series data from a smart meter of the energy user; determining, by the computing device, for each of the plurality of energy users, demographic data of the energy user; clustering, by the computing device, the energy users based on the consumption time series data and the demographic data; identifying, by the computing device, a plurality of groups of energy users based upon the clustering; and determining, by the computing device, an energy saving program to associate with each of the plurality of groups.

Abstract: A computer-implemented method includes: receiving, by a computing device, analytics data at a feeder level of a utility transmission and distribution system; generating, by the computing device, a confidence score for a feeder based on the analytics data at the feeder level; receiving, by the computing device, analytics data at a transformer level of the utility transmission and distribution system; generating, by the computing device, a confidence score for a transformer associated with the feeder based on the analytics data at the transformer level and the confidence score of the feeder; receiving, by the computing device, analytics data for customers associated with the transformer; generating, by the computing device, confidence scores for the customers based on the analytics data and the confidence score of the transformer; and outputting, by the computing device, information regarding the confidence scores for the customers for determining the effectiveness of a demand response (DR) program.

Abstract: A computer-implemented method includes: receiving, by a computing device, analytics data at a feeder level of a utility transmission and distribution system; generating, by the computing device, a confidence score for a feeder based on the analytics data at the feeder level; receiving, by the computing device, analytics data at a transformer level of the utility transmission and distribution system; generating, by the computing device, a confidence score for a transformer associated with the feeder based on the analytics data at the transformer level and the confidence score of the feeder; receiving, by the computing device, analytics data for customers associated with the transformer; generating, by the computing device, confidence scores for the customers based on the analytics data and the confidence score of the transformer; and outputting, by the computing device, information regarding the confidence scores for the customers for determining the effectiveness of a demand response (DR) program.