Modeling and Weather-normalization of Wholehouse Metered Data for Residential End-use

A methodology is presented for modeling load shapes in the residential sector by using hourly whole-house metered data and temperature. Individual household-level load data are analyzed to achieve data smoothing (noise rejection) and comprcssiOn (in the ratio of approximately WA), and to disaggregate the weatherdependent and weather-independent components of the load. The weather-independent (lifestyle) w m p e n t is modeled as a weighted sum of orthogonal functions (primarily sinusoids and boxcars), while the weatherdependent u n n p e n t is modeled as a non-linear dynamic system based upon thermodynamic principles. Numerical examples show efficient representation of data and good model fit.