Title :
On-Line Weather-Sensitive And Industrial Group Bus Load Forecasting For Microprocessor-Based Applications
Author :
Keyhani, A. ; Miri, S.M.
Author_Institution :
The Ohio State University Department of El ectrical Engineering
Abstract :
Algorithms are presented for on-line development of a nominal non-weather-sensitive load sequence and a pure weather-sensitive load sequence constructed from a composite residential and commercial weather-sensitive load sequence. These algorithms are intended for microprocessor-based applications, and they obey the realistic requirements of microprocessors.
Keywords :
Autoregressive processes; Bibliographies; Computational complexity; Load forecasting; Load modeling; Power engineering and energy; Power system modeling; Power system security; Stochastic processes; Systems engineering and theory;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1983.317924
