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: An approach is provided for managing a contact with an inactive customer. After grouping customers into active and inactive customers, the active customers are grouped according to activity segments corresponding to a level and style of activity. Personality traits, values, and needs of the active customers are determined. A mapping between the personality traits, values, and needs of the active customers and the activity segments is generated. Personality traits, values, and needs of an inactive customer are determined. Using the mapping and based on the personality traits, values, and needs of the inactive customer, an activity segment in which the inactive customer likely belongs is determined. Action(s) corresponding to the active customers in the determined activity segment are selected. The action(s) are applied to the inactive customer to increase a likelihood of the inactive customer becoming engaged in an activity similar to activities performed by the active customers.

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.