Title :
A flexible load forecasting model for integrated resources planning
Author :
Chan, S.H. ; Ngan, H.W. ; Chow, W.L.
Author_Institution :
Hong Kong Polytech., China
Abstract :
This paper presents an innovative and flexible load forecasting model suitable to support formulation of integrated resources plans. The envisaged load forecasting model is built upon state-space data representation sequentially updated by Kalman filtering algorithm. It allows dynamic insertion of new data and inclusion of qualitative yardsticks in the energy planning process. Successful implementation of the model on case study shows that the proposed approach is flexible for insertion of external data to the forecasting model
Keywords :
Kalman filters; load forecasting; planning; state-space methods; Kalman filtering algorithm; dynamic insertion; energy planning process; external data insertion; flexible load forecasting model; integrated resources planning; state-space data representation; Electronic mail; Energy efficiency; Filtering algorithms; Kalman filters; Load forecasting; Load modeling; Power industry; Power system modeling; Predictive models; Vectors;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
Conference_Location :
London
Print_ISBN :
0-7803-5902-X
DOI :
10.1109/DRPT.2000.855726
