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Wind power forecasting using advanced neural networks models

Stavrakakis Georgios, Kariniotakis, Georges, N. F .Nogaret

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URI: http://purl.tuc.gr/dl/dias/2ADC2876-C37A-42E1-B2DA-6F91D189A173
Year 1996
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation G. N. Kariniotakis , G. S. Stavrakakis, E. F. Nogaret, “Wind power forecasting using advanced neural networks models,” IEEE Trans.on Energy Conv., vol. 11, no. 4, Dec. 1996.doi:10.1109/60.556376 https://doi.org/10.1109/60.556376
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Summary

In this paper, an advanced model, based on recurrent high order neural networks, is developed for the prediction of the power output profile of a wind park. This model outperforms simple methods like persistence, as well as classical methods in the literature. The architecture of a forecasting model is optimised automatically by a new algorithm, that substitutes the usually applied trial-and-error method.

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