1:45 - 2:45
October 25, 2018
Grand Cypress H
305: Promoting a Culture of Evidence: the Use of Customer Data and Predictive Analytics in Southern California Edison’s Low Income Programs
Session Category : Customer
This session will present on the different applications of predictive analytics and other multivariate statistical techniques in formulating more evidence-based programs and policies within Southern California Edison’s (SCE) Income Qualified Programs (IQP)/low income programs, in particular the California Alternate Rates for Energy (CARE) and the Family Electric Rate Assistance (FERA) programs. More specifically, the session will discuss the use of quantitative analytical tools in the program operation areas of current customer eligibility verification sampling and analysis of annual verification results, customer recertification, prospective customer acquisition propensity modeling for both CARE and FERA, profiling of high usage low income customers (i.e. those whose usage is at least 400.5% of their baseline), identifying areas of improvement in the realm of digital outreach among CARE and FERA households, direct targeting of donors for the Energy Assistance Fund (EAF), to name a few of these projects. Most importantly, however, the session aims to highlight how, in an environment that promotes a culture of evidence, these statistical tools and research methodologies can be utilized to better tailor programs and services directed at obtaining a more effective response to customers’ needs, particularly in the low income program, a vital arena of service that certainly has vast parallels in other energy utility services in the country.