Reliable data on end-use load shapes are important for forecasting electricity demand in least-cost utility planning. This report analyzes available residential end-use metered data collected by California utilities to use with an electricity peak demand forecasting mode developed by the California Energy Commission. Representative daily load shapes for four seasons are developed for seven space conditioning end uses (central air conditioning and room air conditioning) is modeled with matrices that express energy use as a functioning time of day, temperature and humidity. Exploratory work to represent these matrices with analytic functions is also presented.