Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods

Several forecast systems based on Artificial Neural Networks have been developed to predict power production of a wind farm located in a complex terrain, where geographical effects make wind speed predictions difficult) in different time horizons: 1,3,6,12 and 24 h.

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Year of publication:	2011
Authors:	Giorgi, Maria Grazia De ; Ficarella, Antonio ; Tarantino, Marco
Published in:	Energy. - Elsevier, ISSN 0360-5442. - Vol. 36.2011, 7, p. 3968-3978
Publisher:	Elsevier
Subject:	Forecasting \| Wind power \| Artificial neural networks \| Wavelet decomposition \| Numerical weather predictions

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011053986