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    1.A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network

    Zhang, ZY, Wang, JZ,     More...

    RENEWABLE ENERGY[0960-1481], Published 2023, Volume 204, Pages 11-23

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 16  2022影響因子:  8.7 

    2.A multi-component hybrid system based on predictability recognition and modified multi-objective optimization for ultra-short-term onshore wind speed forecasting

    Gao, YY, Wang, JZ, Y     More...

    RENEWABLE ENERGY[0960-1481], Published 2022, Volume 188, Pages 384-401

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 37  2022影響因子:  8.7  发表年影響因子:  8.7 

    3.An innovative combined model based on multi-objective optimization approach for forecasting short-term wind speed: A case study in China

    Li, JR, Wang, JZ, Zh     More...

    RENEWABLE ENERGY[0960-1481], Published 2022, Volume 201, Pages 766-779

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 10  2022影響因子:  8.7  发表年影響因子:  8.7 

    4.A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations

    Liu, TX, Zhao, QJ, W     More...

    RENEWABLE ENERGY[0960-1481], Published 2021, Volume 163, Pages 88-104

    收錄情况: WOS SCOPUS

    WOS核心合集引用:  2022影響因子:  8.7  发表年影響因子:  8.634 

    5.Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression

    Wang, Jianzhou, Wang     More...

    Renewable Energy[0960-1481], Published 2021, Volume 179, Pages 1246-1261

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 32  2022影響因子:  8.7  发表年影響因子:  8.634 

    6.A novel hybrid system based on multi-objective optimization for wind speed forecasting

    Wu, CY, Wang, JZ, Ch     More...

    RENEWABLE ENERGY[0960-1481], Published 2020, Volume 146, Pages 149-165

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 141  2022影響因子:  8.7  发表年影響因子:  8.001 

    7.A novel non-linear combination system for short-term wind speed forecast

    Wang, JZ, Wang, SQ,     More...

    RENEWABLE ENERGY[0960-1481], Published 2019, Volume 143, Pages 1172-1192

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 44  2022影響因子:  8.7  发表年影響因子:  6.274 

    8.Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system

    Zhao, XJ, Wang, C, S     More...

    RENEWABLE ENERGY[0960-1481], Published 2019, Volume 134, Pages 681-697

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 101  2022影響因子:  8.7  发表年影響因子:  6.274 

    9.Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting

    Zhang, KQ, Qu, ZX, D     More...

    RENEWABLE ENERGY[0960-1481], Published 2019, Volume 130, Pages 814-830

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 41  2022影響因子:  8.7  发表年影響因子:  6.274 

    10.Multi-step ahead forecasting in electrical power system using a hybrid forecasting system

    Du, P, Wang, JZ, Yan     More...

    RENEWABLE ENERGY[0960-1481], Published 2018, Volume 122, Pages 533-550

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 118  2022影響因子:  8.7  发表年影響因子:  5.439 

    11.Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

    Niu, T, Wang, JZ, Zh     More...

    RENEWABLE ENERGY[0960-1481], Published 2018, Volume 118, Pages 213-229

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 91  2022影響因子:  8.7  发表年影響因子:  5.439 

    12.Research and application of a combined model based on variable weight for short term wind speed forecasting

    Li, HM, Wang, JZ, Lu     More...

    RENEWABLE ENERGY[0960-1481], Published 2018, Volume 116, Pages 669-684

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 119  2022影響因子:  8.7  发表年影響因子:  5.439 

    13.A hybrid approach based on the Gaussian process with t-observation model for short-term wind speed forecasts

    Hu, JM, Wang, JZ, Xi     More...

    RENEWABLE ENERGY[0960-1481], Published 2017, Volume 114, Pages 670-685

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 51  2022影響因子:  8.7  发表年影響因子:  4.900 

    14.A numerical model based on prior distribution fuzzy inference and neural networks

    Wang, JZ, Dong, YX,     More...

    RENEWABLE ENERGY[0960-1481], Published 2017, Volume 112, Pages 486-497

    收錄情况: WOS SCOPUS

    WOS核心合集引用:  2022影響因子:  8.7  发表年影響因子:  4.900 

    15.A novel hybrid model based on artificial neural networks for solar radiation prediction

    Wu, YJ, Wang, JZ

    RENEWABLE ENERGY[0960-1481], Published 2016, Volume 89, Pages 268-284

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 46  2022影響因子:  8.7  发表年影響因子:  4.357 

    16.A self-adaptive hybrid approach for wind speed forecasting

    Wang, JZ, Hu, JM, Ma     More...

    RENEWABLE ENERGY[0960-1481], Published 2015, Volume 78, Pages 374-385

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 80  2022影響因子:  8.7  发表年影響因子:  3.404 

    17.Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China

    Wang, JZ, Qin, SS, Z     More...

    RENEWABLE ENERGY[0960-1481], Published 2015, Volume 76, Pages 91-101

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 119  2022影響因子:  8.7  发表年影響因子:  3.404 

    18.A hybrid forecasting approach applied to wind speed time series

    Hu, JM, Wang, JZ, Ze     More...

    RENEWABLE ENERGY[0960-1481], Published 2013, Volume 60, Pages 185-194

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 169  2022影響因子:  8.7  发表年影響因子:  3.361 

    19.Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

    Guo, ZH, Zhao, WG, L     More...

    RENEWABLE ENERGY[0960-1481], Published 2012, Volume 37, Issue 1, Pages 241-249

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 385  2022影響因子:  8.7  发表年影響因子:  2.989 

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