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Wind speed forecast based on combined theory, multi-objective optimisation, and sub-model selection Journal article
Fu, Tonglin, Zhang, Shenghui. Wind speed forecast based on combined theory, multi-objective optimisation, and sub-model selection[J]. SOFT COMPUTING, 2022, 26(24), 13615-13638.
Authors:  Fu, Tonglin;  Zhang, Shenghui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.1/3.2 | Submit date：2023/01/30
Wind Energy  Wind Speed Forecasting  Sub-model Selection  Combined Model  Multi-objective Optimisation  
Wind speed forecasting based on hybrid model with model selection and wind energy conversion Journal article
Chen Wang, Shenghui Zhang, Peng Liao, Tonglin Fu. Wind speed forecasting based on hybrid model with model selection and wind energy conversion[J]. RENEWABLE ENERGY, 2022, 196, 763-781.
Authors:  Chen Wang;  Shenghui Zhang;  Peng Liao;  Tonglin Fu
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:9.0/8.1 | Submit date：2022/08/02
Model Selection  Wind Power Conversion  Hybrid Models  Wind Speed Forecasting  
Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory Journal article
Shenghui Zhang, Chen Wang, Peng Liao, Ling Xiao, Tonglin Fu. Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 193.
Authors:  Shenghui Zhang;  Chen Wang;  Peng Liao;  Ling Xiao;  Tonglin Fu
Favorite | TC[WOS]:37 TC[Scopus]:41  IF:7.5/7.6 | Submit date：2022/05/13
Betz's Theory  Fuzzy C-means Cluster  Model Selection Strategy  Modified Multi-objective Algorithm  Wind Speed Forecasting  
Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China Journal article
Wang, Chen, Zhang, Shenghui, Xiao, Ling, Fu, Tonglin. Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China[J]. ENERGY CONVERSION AND MANAGEMENT, 2021, 243, 114402.
Authors:  Wang, Chen;  Zhang, Shenghui;  Xiao, Ling;  Fu, Tonglin
Favorite | TC[WOS]:47 TC[Scopus]:49  IF:9.9/9.8 | Submit date：2021/12/08
Combined Forecasting Model  Model Selection  Multi-objective Algorithm  Wind Energy Conversion  
Electrical load forecasting: A deep learning approach based on K-nearest neighbors Journal article
Dong, Yunxuan, Ma, Xuejiao, Fu, Tonglin. Electrical load forecasting: A deep learning approach based on K-nearest neighbors[J]. Applied Soft Computing, 2021, 99, 106900.
Authors:  Dong, Yunxuan;  Ma, Xuejiao;  Fu, Tonglin
Favorite | TC[WOS]:75 TC[Scopus]:90  IF:7.2/7.0 | Submit date：2021/12/07
Deep Learning Approach  Electrical Load Interval Forecasting  K-nearest Neighbors  Kernel Density Estimation  
Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target Journal article
Dong, Yunxuan, Wang, Jing, Xiao, Ling, Fu, Tonglin. Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target[J]. Energy, 2021, 215, 119180.
Authors:  Dong, Yunxuan;  Wang, Jing;  Xiao, Ling;  Fu, Tonglin
Favorite | TC[WOS]:19 TC[Scopus]:23  IF:9.0/8.2 | Submit date：2021/12/07
Convolutional Neural Networks  Hybrid Forecast Approach  Optimization Algorithm  Wind Speed Forecasting  
Application and research for electricity price forecasting system based on multi-objective optimization and sub-models selection strategy Journal article
Fu, Tonglin, Zhang, Shenghui, Wang, Chen. Application and research for electricity price forecasting system based on multi-objective optimization and sub-models selection strategy[J]. Soft Computing, 2020, 24(20), 15611-15637.
Authors:  Fu, Tonglin;  Zhang, Shenghui;  Wang, Chen
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:3.1/3.2 | Submit date：2021/12/06
Combined Model  Electricity Prices  Hybrid Forecasting System  Sub-models Selection Strategy