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Deep learning model for solar and wind energy forecasting considering Northwest China as an example Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:  Li, Pengyu;  Yang, Huiyu;  Wu, Han;  Wang, Yujia;  Su, Hao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/5.6 | Submit date：2024/10/10
Attention-based Spatial-temporal Graph Neural Network  Deep Learning  Long Short-term Memory  Solar Energy  Wind Energy  
Adversarial false data injection attacks on deep learning-based short-term wind speed forecasting Journal article
Yang, Lei, Liang, Gaoshen, Yang, Yanrong, Ruan, Jiaqi, Yu, Peipei, Yang, Chao. Adversarial false data injection attacks on deep learning-based short-term wind speed forecasting[J]. IET Renewable Power Generation, 2024, 18(7), 1370-1379.
Authors:  Yang, Lei;  Liang, Gaoshen;  Yang, Yanrong;  Ruan, Jiaqi;  Yu, Peipei; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:2.6/2.8 | Submit date：2024/02/22
Adversarial False Data Injection Attack  Cyber Threat  Deep Learning  Renewable Energy  Resilience  Wind Speed Forecasting  
A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems Journal article
Yan, Shuo, Chen, Junyu, Wang, Minghao, Yang, Yongheng, Rodriguez, Jose M.. A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3), 1085-1104.
Authors:  Yan, Shuo;  Chen, Junyu;  Wang, Minghao;  Yang, Yongheng;  Rodriguez, Jose M.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.9/6.9 | Submit date：2024/07/04
Doubly Fed Induction Generator (Dfig)  Model Predictive Control (Mpc)  Wind Energy  
A Coordinated Frequency Regulation and Bidding Method for Wind-Electrolysis Joint Systems Participating Within Ancillary Services Markets Journal article
Cheng,Xiang, Lin,Jin, Liu,Feng, Qiu,Yiwei, Song,Yonghua, Li,Jiarong, Wu,Sirui. A Coordinated Frequency Regulation and Bidding Method for Wind-Electrolysis Joint Systems Participating Within Ancillary Services Markets[J]. IEEE Transactions on Sustainable Energy, 2022, 14(3), 1370-1384.
Authors:  Cheng,Xiang;  Lin,Jin;  Liu,Feng;  Qiu,Yiwei;  Song,Yonghua; et al.
Favorite | TC[WOS]:8 TC[Scopus]:12  IF:8.6/8.6 | Submit date：2023/08/03
Cooperation Scheme  Electrolysis System  Energy Market  Hydrogen  Multi-timescale Control  Regulation Market  Wind Power  
Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service Journal article
Yuxin Ma, Zechun Hu, Yonghua Song. Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service[J]. IEEE Transactions on Sustainable Energy, 2022, 13(4), 2331-2342.
Authors:  Yuxin Ma;  Zechun Hu;  Yonghua Song
Favorite | TC[WOS]:44 TC[Scopus]:74  IF:8.6/8.6 | Submit date：2022/09/21
Automatic Generation Control  Shared Battery Energy Storage System  Distributionally Robust Optimization  Primary Frequency Response  Renewable Energy Sources  Wind Power Generation  Batteries  Power System Stability  Frequency Control  Optimization  Photovoltaic Systems  
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  
Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy Journal article
Wang, Yuqi, Li, Xiang, Yu, Xin, Zhu, Jianyang, Shen, Ping, Wang, Zhong Lin, Cheng, Tinghai. Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy[J]. Nano Energy, 2022, 99, 107389.
Authors:  Wang, Yuqi;  Li, Xiang;  Yu, Xin;  Zhu, Jianyang;  Shen, Ping; et al.
Favorite | TC[WOS]:31 TC[Scopus]:37  IF:16.8/16.3 | Submit date：2022/05/31
Driving-torque Self-adjusted  Effective Harvesting  Random Wind Energy  Triboelectric Nanogenerators  
Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision Journal article
Zhao, Changfei, Wan, Can, Song, Yonghua. Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision[J]. IEEE Transactions on Power Systems, 2022, 37(4), 3048-3062.
Authors:  Zhao, Changfei;  Wan, Can;  Song, Yonghua
Favorite | TC[WOS]:32 TC[Scopus]:37  IF:6.5/7.4 | Submit date：2022/05/13
Costs  Decision Making  Decision Making  Forecasting  Forecasting  Machine Learning  Prediction Interval  Probabilistic Logic  Renewable Energy  Renewable Energy Sources  Uncertainty  Uncertainty  Wind Power Generation  
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  
The Role of Renewable Energy System in Reshaping the Electrical Grid Scenario Journal article
Buticchi, Giampaolo, Lam, Chi Seng, Ruan, Xinbo, Liserre, Marco, Barater, Davide, Benbouzid, Mohamed, Gomis-Bellmunt, Oriol, Paja, Carlos, Kumar, Chandan, Zhu, Rongwu. The Role of Renewable Energy System in Reshaping the Electrical Grid Scenario[J]. IEEE Open Journal of the Industrial Electronics Society, 2021, 2, 451-468.
Authors:  Buticchi, Giampaolo;  Lam, Chi Seng;  Ruan, Xinbo;  Liserre, Marco;  Barater, Davide; et al.
Favorite | TC[WOS]:23 TC[Scopus]:29 | Submit date：2022/05/13
Maximum Power Point Tracking  Photovoltaic  Power Electronics  Storage  Wind Energy Conversion Systems