Title :
Self-tuning predictor and its application in electric power systems
Author :
Weijian, Ren ; Liguo, Wang ; Chenfeng, Wang ; Aihua, Xie
Author_Institution :
Dept. of Autom. & Control Eng., Daqing Pet. Inst., Heilongjiang, China
Abstract :
Based on the self-tuning theory, a new self-tuning recursive predictor is proposed for nonstationary time series. Very good results were obtained by using the predictor for the prediction of electric power systems.
Keywords :
autoregressive moving average processes; least squares approximations; load forecasting; prediction theory; thermal power stations; time series; ARMA model; electric power system; nonstationary time series; recursive extended least-squares; self-tuning predictor; thermal power stations; Automation; Intelligent control; Petroleum; Power engineering and energy; Power supplies;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020815
