Title :
Modeling and weather-normalization of whole-house metered data for residential end-use load shape estimation
Author :
Schick, Irvin C. ; Usoro, Patrick B. ; Ruane, Michael F. ; Schweppe, Fred C.
fDate :
2/1/1988 12:00:00 AM
Abstract :
A method 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 compression (in the ratio of approximately 150:1), and to disaggregate the weather-dependent and weather-independent components of the load. The weather-independent (lifestyle) component is modeled as a weighted sum of orthogonal functions (primarily sinusoids and boxcars), while the weather-dependent component is modeled as a nonlinear dynamic system based on thermodynamic principles. Numerical examples show efficient representation of data and good model fit
Keywords :
load forecasting; data compression; data smoothing; end-use load shape estimation; load forecasting; modeling; nonlinear dynamic system; orthogonal functions; residential sector; thermodynamic principles; weather-dependent data; whole-house metered data; Demography; Econometrics; Economic forecasting; Environmental economics; Home appliances; Load forecasting; Load modeling; Maintenance engineering; Power generation economics; Shape;
Journal_Title :
Power Systems, IEEE Transactions on
