Locally recurrent neural networks for long-term wind speed and power prediction

The paper deals with a real-world application, the long-term wind speed and power forecasting in a wind farm using locally recurrent multilayer networks as forecast models. To cope with the complexity of the process and to improve the performance of the models, a class of optimal on-line learning al...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 69; H. 4; S. 466 - 496
Hauptverfasser:	Barbounis, T.G., Theocharis, J.B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2006
Schlagworte:	Local learning algorithms Local recurrent neural networks Long-term wind forecasting Recursive prediction error algorithm Sensitivity networks Recursive prediction error algorithm Sensitivity networks Local learning algorithms Long-term wind forecasting Local recurrent neural networks
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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