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