DocumentCode :
2697960
Title :
Intelligent methods for load forecasting
Author :
Hannan, J.M. ; Kiernan, L.A. ; Warwick, K. ; Majithia, S.
Author_Institution :
Reading Univ., UK
Volume :
2
fYear :
1996
fDate :
2-5 Sept. 1996
Firstpage :
1418
Abstract :
Load forecasting is an important task in the management of a power utility. The most recent developments in forecasting involve the use of artificial intelligence techniques, which offer powerful modelling capabilities. This paper discusses these techniques and provides a review of their application to load forecasting.
Keywords :
knowledge based systems; load forecasting; power system analysis computing; AI; artificial intelligence techniques; load forecasting;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Control '96, UKACC International Conference on (Conf. Publ. No. 427)
ISSN :
0537-9989
Print_ISBN :
0-85296-668-7
Type :
conf
DOI :
10.1049/cp:19960760
Filename :
656259
Link To Document :
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