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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Vydané v:	Neurocomputing (Amsterdam) Ročník 70; číslo 1; s. 409 - 419
Hlavní autori:	Chan, Zeke S.H., Ngan, H.W., Rad, A.B., David, A.K., Kasabov, N.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2006
Predmet:	Day-ahead forecasting Genetic algorithm Open electricity market Regularization Day-ahead forecasting Genetic algorithm Regularization Open electricity market
ISSN:	0925-2312, 1872-8286
On-line prístup:	Získať plný text
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