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Wind power forecasting using advanced neural networks models

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3 Author(s)
Kariniotakis, G.N. ; Centre d''Energetique, Ecole des Mines, Sophia-Antipolis, France ; Stavrakakis, G.S. ; Nogaret, E.F.

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. Finally, the online implementation of the developed model into an advanced control system for the optimal operation and management of a real autonomous wind-diesel power system, is presented

Published in:

Energy Conversion, IEEE Transactions on  (Volume:11 ,  Issue: 4 )

Date of Publication:

Dec 1996

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