DocumentCode
381033
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
Volume
2
fYear
2002
fDate
2002
Firstpage
1416
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020815
Filename
1020815
Link To Document