A new strategy for wind speed forecasting using artificial intelligent methods

A new strategy in wind speed prediction based on fuzzy logic and artificial neural networks was proposed. The new strategy for fuzzy logic not only provides significantly less rule base but also has increased estimated wind speed accuracy when compared to traditional one. Meanwhile, applying the pro...

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Bibliographic Details
Published in:Renewable energy 2009-03, Vol.34 (3), p.845-848
Main Authors: Monfared, Mohammad, Rastegar, Hasan, Kojabadi, Hossein Madadi
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligent methods
Economic data
Energy
Energy economics
Exact sciences and technology
Fuzzy logic
General, economic and professional studies
Methodology. Modelling
Natural energy
Neural network
Wind energy
Wind speed prediction
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Summary:A new strategy in wind speed prediction based on fuzzy logic and artificial neural networks was proposed. The new strategy for fuzzy logic not only provides significantly less rule base but also has increased estimated wind speed accuracy when compared to traditional one. Meanwhile, applying the proposed approach to artificial neural network leads to less neuron numbers and less learning time process along with accurate wind speed prediction results. The experimental results demonstrate that the proposed method not only provides less computational time but also a better wind speed prediction performance.
ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2008.04.017