Some methodologies of wind speed prediction: A critical review
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Creator 1. S. M. Lawan
2. W. A. W. Z. Abidin
3. W. Y. Chai
4. A. Baharun
5. T. Masri
Title Some methodologies of wind speed prediction: A critical review
Publisher School of Renewable Energy Technology
Publication Year 2557
Journal Title International Journal of Renewable Energy
Journal Vol. Vol. 9
Journal No. No.1
Page no. 41-55
Keyword Wind, Wind energy, Wind speed, Neural network, Prediction models
ISSN 1905-7172
Abstract Accurate and precise wind speed prediction is a vital tool to be carried out during the preparation stage of wind energy project. Wind speed and power prediction present the first step in planning and developing of wind energy system. One of the most important tasks of wind power, exploitation is to accurately predict the wind speed values at different horizons. Based on the outcomes of such predictions, wind resources assessments can be performed using the most fitted model. Professional judgment indicates the main source of ambiguity in setting up of future capacity resources is the ability to predict wind speed values. This paper presents an overview of the past and up to date practice of wind speed prediction. It's introduces methods such as neural networks, support vector machines, genetic algorithm and compare with traditional techniques in terms of accuracy.
International Journal of Renewable Energy

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