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Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

Author

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  • Wang, Jianzhou
  • Song, Yiliao
  • Liu, Feng
  • Hou, Ru

Abstract

Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of conventional resource depletion. However, wind power is difficult to implement on a large scale because the volatility of wind hinders the prediction of steady and accurate wind power or speed values, especially for multi-step-ahead and long horizon cases. Multi-step-ahead prediction of wind speed is challenging and can be realized by the Weather Research and Forecasting Model (WRF). However, a large error in wind speed will occur due to inaccurate predictions at the beginning of the synoptic process in WRF. Multi-step wind speed predictions using statistical and machine learning methods have rarely been studied because greater numbers of forecasting steps correspond to lower accuracy.

Suggested Citation

  • Wang, Jianzhou & Song, Yiliao & Liu, Feng & Hou, Ru, 2016. "Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 960-981.
    • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:960-981
    DOI: 10.1016/j.rser.2016.01.114
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