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    1.MIG-EWPFS: An ensemble probabilistic wind speed forecasting system integrating multi-dimensional feature extraction, hybrid quantile regression, and Knee improved multi-objective optimization

    Xing, QY, Huang, XJ,     More...

    ENERGY[0360-5442], Published 2025, Volume 324,

    收錄情况: WOS SCOPUS

    WOS核心合集引用:  2023影響因子:  9.4 

    2.Point and interval wind speed forecasting of multivariate time series based on dual-layer LSTM

    Zhang, Haipeng, Wang     More...

    Energy[0360-5442], Published 2024, Volume 294,

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 15  2023影響因子:  9.4  发表年影響因子:  9.4 

    3.Enhancing hourly electricity forecasting using fuzzy cognitive maps with sample entropy

    Li, SJ, Wang, JZ, Zh     More...

    ENERGY[0360-5442], Published 2024, Volume 298,

    收錄情况: WOS SCOPUS

    WOS核心合集引用:  2023影響因子:  9.4  发表年影響因子:  9.4 

    4.A robust time-varying weight combined model for crude oil price forecasting

    Liu, LL, Zhou, SY, J     More...

    ENERGY[0360-5442], Published 2024, Volume 299,

    收錄情况: WOS SCOPUS

    WOS核心合集引用:  2023影響因子:  9.4  发表年影響因子:  9.4 

    5.A paradigm shift in solar energy forecasting: A novel two-phase model for monthly residential consumption

    Xu, Y, Yu, Q, Du, P,     More...

    ENERGY[0360-5442], Published 2024, Volume 305,

    收錄情况: WOS SCOPUS

    WOS核心合集引用:  2023影響因子:  9.4  发表年影響因子:  9.4 

    6.A multivariable hybrid prediction system of wind power based on outlier test and innovative multi-objective optimization

    Guo, HG, Wang, JZ, L     More...

    ENERGY[0360-5442], Published 2022, Volume 239,

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 33  2023影響因子:  9.4  发表年影響因子:  8.9 

    7.A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting

    Wang, Jianzhou, An,     More...

    Energy[0360-5442], Published 2022, Volume 251,

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 41  2023影響因子:  9.4  发表年影響因子:  8.9 

    8.A novel combined model for wind speed prediction - Combination of linear model, shallow neural networks, and deep learning approaches

    Wang, S, Wang, JZ, L     More...

    ENERGY[0360-5442], Published 2021, Volume 234,

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 84  2023影響因子:  9.4  发表年影響因子:  8.857 

    9.Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction

    Wang, Y, Wang, JZ, L     More...

    ENERGY[0360-5442], Published 2021, Volume 231,

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 49  2023影響因子:  9.4  发表年影響因子:  8.857 

    10.Comparison of seven methods for determining the optimal statistical distribution parameters: A case study of wind energy assessment in the large-scale wind farms of China

    Wang, JZ, Huang, XJ,     More...

    ENERGY[0360-5442], Published 2018, Volume 164, Pages 432-448

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 52  2023影響因子:  9.4  发表年影響因子:  5.537 

    11.Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system

    Wang, JZ, Yang, WD,     More...

    ENERGY[0360-5442], Published 2018, Volume 148, Pages 59-78

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 115  2023影響因子:  9.4  发表年影響因子:  5.537 

    12.Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms

    Li, JR, Wang, R, Wan     More...

    ENERGY[0360-5442], Published 2018, Volume 144, Pages 243-264

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 56  2023影響因子:  9.4  发表年影響因子:  5.537 

    13.Research and application of a combined model based on multi objective optimization for multi-step ahead wind speed forecasting

    Wang, JZ, Heng, JN,     More...

    ENERGY[0360-5442], Published 2017, Volume 125, Pages 591-613

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 111  2023影響因子:  9.4  发表年影響因子:  4.968 

    14.Short-term wind speed forecasting using a hybrid model

    Jiang, P, Wang, Y, W     More...

    ENERGY[0360-5442], Published 2017, Volume 119, Pages 561-577

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 104  2023影響因子:  9.4  发表年影響因子:  4.968 

    15.A robust combination approach for short-term wind speed forecasting and analysis - Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

    Wang, JZ, Hu, JM

    ENERGY[0360-5442], Published 2015, Volume 93, Pages 41-56

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 251  2023影響因子:  9.4  发表年影響因子:  4.292 

    16.Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

    Hu, JM, Wang, JZ

    ENERGY[0360-5442], Published 2015, Volume 93, Pages 1456-1466

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 174  2023影響因子:  9.4  发表年影響因子:  4.292 

    17.A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

    Wang, Y, Wang, JZ, W     More...

    ENERGY[0360-5442], Published 2015, Volume 91, Pages 556-572

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 118  2023影響因子:  9.4  发表年影響因子:  4.292 

    18.A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting

    Xiao, LY, Wang, JZ,     More...

    ENERGY[0360-5442], Published 2015, Volume 82, Pages 524-549

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 115  2023影響因子:  9.4  发表年影響因子:  4.292 

    19.A hybrid technique for short-term wind speed prediction

    Hu, JM, Wang, JZ, Ma     More...

    ENERGY[0360-5442], Published 2015, Volume 81, Pages 563-574

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 112  2023影響因子:  9.4  发表年影響因子:  4.292 

    20.Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm

    Wang, JZ, Jiang, H,     More...

    ENERGY[0360-5442], Published 2015, Volume 81, Pages 627-644

    收錄情况: WOS SCOPUS

    WOS核心合集引用: 81  2023影響因子:  9.4  发表年影響因子:  4.292 

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