Partner: Recurve Analytics
This project tested how smart meter data can be utilized to predict customer and program performance in demand-side energy efficiency programs, improve savings and boost cost-effectiveness.
Recurve conducted an analysis of four ComEd offerings: residential market rate weatherization, residential income eligible weatherization, residential early replacement for air conditioners and commercial air conditioner tune-ups. The study used a rigorous experimental design that divided participants into a testing group and a control group in order to scientifically test the predictive capacity of the customer targeting methods developed by Recurve.
Results and Outcomes
The results of the analysis indicated that targeting metrics were predictive of energy savings for the multiple offerings evaluated and that those metrics could be used to target future program participants to optimize program performance and customer benefits.