Wind speed prediction using artificial neural networks

Authors:
P. M. Fonte;Gonçalo Xufre Silva;J. C. Quadrado
Affiliations:
DEEA, ISEL, Lisboa, Portugal;Centro de Matemática, ISEL, Lisboa, Portugal;DEEA, ISEL, Lisboa, Portugal
Venue:
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Year:
2005

Citing 2
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Abstract

In this paper the problem with the introduction of a large quantity of wind generators on the electric grid is presented. A method based in artificial neural networks (ANN) is used to predict the average hourly wind speed. The study starts by choosing the patterns set length to predict de wind speed. The ANN structure and the learning method are chosen as well as the dimensions of the sets of data, training, validation and test. The ANN is tested to archive an acceptable ANN based model. This model is afterwards used to predict the wind speed. The results archived are discussed and the future work perspectives are present.