A new strategy for wind speed forecasting using artificial intelligent methods

Mohammad Monfared, Hasan Rastegar and Hossein Madadi Kojabadi

Renewable Energy, 2009, vol. 34, issue 3, 845-848

Abstract: 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.

Keywords: Artificial intelligent methods; Fuzzy logic; Neural network; Wind speed prediction (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (49)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:34:y:2009:i:3:p:845-848

DOI: 10.1016/j.renene.2008.04.017

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