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    1.Research on a Novel Combination System on the Basis of Deep Learning and Swarm Intelligence Optimization Algorithm for Wind Speed Forecasting

    He, XH, Nie, Y, Guo,     More...

    IEEE ACCESS[2169-3536], Published 2020, Volume 8, Pages 51482-51499

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 14  2022影響因子:  3.9  发表年影響因子:  3.367 

    2.A Combined Strategy for Wind Speed Forecasting Using Data Preprocessing and Weight Coefficients Optimization Calculation

    Guo, TJ, Zhang, LF,     More...

    IEEE ACCESS[2169-3536], Published 2020, Volume 8, Pages 33039-33059

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 13  2022影響因子:  3.9  发表年影響因子:  3.367 

    3.Electric Load Forecasting Use a Novelty Hybrid Model on the Basic of Data Preprocessing Technique and Multi-Objective Optimization Algorithm

    Bo, H, Nie, Y, Wang,     More...

    IEEE ACCESS[2169-3536], Published 2020, Volume 8, Pages 13858-13874

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 24  2022影響因子:  3.9  发表年影響因子:  3.367 

    4.Wind Speed Forecasting System Based on the Variational Mode Decomposition Strategy and Immune Selection Multi-Objective Dragonfly Optimization Algorithm

    Bo, H, Niu, XS, Wang     More...

    IEEE ACCESS[2169-3536], Published 2019, Volume 7, Pages 178063-178081

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 37  2022影響因子:  3.9  发表年影響因子:  3.745 

    5.Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy

    Zhang, LF, Dong, Y,     More...

    IEEE ACCESS[2169-3536], Published 2019, Volume 7, Pages 176000-176023

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 24  2022影響因子:  3.9  发表年影響因子:  3.745 

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