共 15 条
[1]
A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting.[J].Chu Zhang;Jianzhong Zhou;Chaoshun Li;Wenlong Fu;Tian Peng.Energy Conversion and Management.2017,
[2]
Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm.[J].Anbo Meng;Jiafei Ge;Hao Yin;Sizhe Chen.Energy Conversion and Management.2016,
[3]
Combined forecasting models for wind energy forecasting: A case study in China.[J].Ling Xiao;Jianzhou Wang;Yao Dong;Jie Wu.Renewable and Sustainable Energy Reviews.2015,
[4]
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions.[J].Hui Liu;Hong-qi Tian;Yan-fei Li;Lei Zhang.Energy Conversion and Management.2015,
[5]
A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting.[J].Zhongyue Su;Jianzhou Wang;Haiyan Lu;Ge Zhao.Energy Conversion and Management.2014,
[6]
Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm.[J].Da Liu;Dongxiao Niu;Hui Wang;Leilei Fan.Renewable Energy.2014,
[7]
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting.[J].Chao Ren;Ning An;Jianzhou Wang;Lian Li;Bin Hu;Duo Shang.Knowledge-Based Systems.2014,
[8]
An Integrated Model for Wind Power Forecasting Based On Maximum Entropy Principle.[J].He Dian;Wu Jun Yong;Ji Lu Yu;Zhang Xi Lu;Li Xue.Advanced Materials Research.2012, 433
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