Title :
A weighted multi-model short-term load forecasting system
Author :
Hong, Chen ; Jianwei, Liu
Author_Institution :
NARI Power Syst. Control Corp., China
Abstract :
This paper introduces a weighted multi-model short-term load forecasting (STLF) system, which effectively combines the conventional models. Many practical techniques are also used to improve the forecasting accuracy. This system has been running on-line on Datong distribution system with satisfactory results and proved to be robust and easy to use
Keywords :
Kalman filters; distribution networks; load forecasting; statistical analysis; time series; Datong distribution system; Kalman filter model; forecasting accuracy improvement; multi-linear regression model; time series model; weighted multi-model short-term load forecasting system; Artificial neural networks; Economic forecasting; Load flow analysis; Load forecasting; Power generation; Power system control; Power system reliability; Predictive models; Robustness; Weather forecasting;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729026
