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Short-Term Wind Power Prediction Based on Feature Recombination and IQPSO-BILSTM-RF
Artificial Intelligence | 更新时间:2024-12-30
    • Short-Term Wind Power Prediction Based on Feature Recombination and IQPSO-BILSTM-RF

    • In the field of wind power prediction, experts have proposed a BILSTM and RF combination model based on feature recombination and optimization algorithms, which significantly improves prediction accuracy with an R2 of 0.99425.
    • Software Guide   Vol. 23, Issue 12, Pages: 10-17(2024)
    • DOI:10.11907/rjdk.232248    

      CLC: TP391.9
    • Published:16 December 2024

      Received:07 December 2023

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  • WANG Jiaqi,ZHANG Linghua,HU Feng.Short-Term Wind Power Prediction Based on Feature Recombination and IQPSO-BILSTM-RF[J].Software Guide,2024,23(12):10-17. DOI: 10.11907/rjdk.232248.

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