Correction of load curves estimated by electrical appliances ownership surveys using mass memory meters

Through the PPHs (Energy Audit on Ownership and Usage of Electrical Appliances), one has a rough idea of the daily load shape curves by appliance. However, the curves obtained this way tend to be a little inaccurate, as they are generated by the consumer survey information of usage of the equipments, which tend to be imprecise information. Despite its inaccuracy, the energy audits (PPHs) are a simple and cheap way to understand equipment ownership and consumption habits of the residential consumers of such a large country as Brazil. In this work, it presented a statistical-based model that allows a better calibration of the load shape curve for appliances for residential consumers using information from two sources: PPHs and household measurements through specific devices that provide real-time measures of the total consumption. Two methodologies using linear regression were tested, one considering a two parameter linear model and another one considering only the slope parameter. It is shown that the latter produced better results.