Short-term ANN load forecasting from limited data using generalization learning strategies

The emergence of the new competitive electricity market environment has made short-term load forecasting a more complex task, owing to the effect of marketers’ behavior on the load pattern and the reduction of available information due to commercial reasons. In recent years, many ANN-based forecaste...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 70; no. 1; pp. 409 - 419
Main Authors:	Chan, Zeke S.H., Ngan, H.W., Rad, A.B., David, A.K., Kasabov, N.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2006
Subjects:	Day-ahead forecasting Genetic algorithm Open electricity market Regularization Day-ahead forecasting Genetic algorithm Regularization Open electricity market
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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