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A PSO-LSTM Model of Offshore Wind Power Forecast considering the Variation of Wind Speed in Second-Level Time Scale

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  • Chao Yuan
  • Yiming Tang
  • Rui Mei
  • Fei Mo
  • Hong Wang

Abstract

To enable power generation companies to make full use of effective wind energy resources and grid companies to correctly schedule wind power, this paper proposes a model of offshore wind power forecast considering the variation of wind speed in second-level time scale. First, data preprocessing is utilized to process the abnormal data and complete the normalization of offshore wind speed and wind power. Then, a wind speed prediction model is established in the second time scale through the differential smoothing power sequence. Finally, a rolling PSO-LSTM memory network is authorized to realize the prediction of second-level time scale wind speed and power. An offshore wind power case is utilized to illustrate and characterize the performance of the wind power forecast model.

Suggested Citation

  • Chao Yuan & Yiming Tang & Rui Mei & Fei Mo & Hong Wang, 2021. "A PSO-LSTM Model of Offshore Wind Power Forecast considering the Variation of Wind Speed in Second-Level Time Scale," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:2009062
    DOI: 10.1155/2021/2009062
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