This software package is a set of Python-based tools for forecasting future time series of electrical power demand for a granular set of customer types in California, based on historical data on individual customers' demand, combined with aggregate forecasts of demand growth.
This package estimates future potential for utility customers to provide various forms of demand response (DR) based on granular forecasts of energy demand by customer type and a database of DR-enabling technologies.