Some methodologies of wind speed prediction: A critical review

Authors

  • S. M. Lawan Faculty of Engineering Universiti Malaysia Sarawak (UNIMAS), 94300 Kota Samarahan Sarawak
  • W. A. W. Z. Abidin Faculty of Engineering Universiti Malaysia Sarawak (UNIMAS), 94300 Kota Samarahan Sarawak
  • W. Y. Chai Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak (UNIMAS), 94300 Kota Samarahan, Sarawak
  • A. Baharun Faculty of Engineering Universiti Malaysia Sarawak (UNIMAS), 94300 Kota Samarahan Sarawak
  • T. Masri Faculty of Engineering Universiti Malaysia Sarawak (UNIMAS), 94300 Kota Samarahan Sarawak

Keywords:

Wind, Wind energy, Wind speed, Neural network, Prediction models

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.

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How to Cite

Lawan, S. M., Abidin, W. A. W. Z., Chai, W. Y., Baharun, A., & Masri, T. (2014). Some methodologies of wind speed prediction: A critical review. Journal of Renewable Energy and Smart Grid Technology, 9(1), 41–56. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/26348