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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  
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin, Li, Jia ming. Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder[J]. Expert Systems with Applications, 2024, 254, 124256.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin;  Li, Jia ming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/07/04
Federated Learning  Intelligent Fault Diagnosis  Stacked Capsule Autoencoder  Wind Turbine  
Stochastic-Distributionally Robust Frequency-Constrained Optimal Planning for an Isolated Microgrid Journal article
Yang, Lun, Li, Hui, Zhang, Hongcai, Wu, Qiuwei, Cao, Xiaoyu. Stochastic-Distributionally Robust Frequency-Constrained Optimal Planning for an Isolated Microgrid[J]. IEEE Transactions on Sustainable Energy, 2024, 15(4), 2155-2169.
Authors:  Yang, Lun;  Li, Hui;  Zhang, Hongcai;  Wu, Qiuwei;  Cao, Xiaoyu
Favorite | TC[WOS]:8 TC[Scopus]:21  IF:8.6/8.6 | Submit date：2024/06/05
Distributionally Robust Chance-constrained Approach  Frequency Constraints  Microgrid  Planning  Uncertainty  Microgrids  Security  Generators  Wind Turbines  Load Modeling  Constraint Handling  Stochastic Processes  
Collaborative monitoring of wind turbine performance based on probabilistic power curve comparison Journal article
Li, Yanting, Wang, Peng, Wu, Zhenyu, Su, Yan. Collaborative monitoring of wind turbine performance based on probabilistic power curve comparison[J]. Renewable Energy, 2024, 231, 120919.
Authors:  Li, Yanting;  Wang, Peng;  Wu, Zhenyu;  Su, Yan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.0/8.1 | Submit date：2024/08/05
Collaborative Monitoring  Directional Hotelling T2control Chart  Probabilistic Power Curve  Wind Turbine Performance  
Comparative Analysis of Offshore Wind Power Prediction Models and Clustering-Based Daily Output Classification Conference paper
Ou, Zhongxi, Lan, Wei, Zhang, Liang, Tong, Zhu, Liu, Dundun, Liu, Zhaoxi. Comparative Analysis of Offshore Wind Power Prediction Models and Clustering-Based Daily Output Classification[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1482-1487.
Authors:  Ou, Zhongxi;  Lan, Wei;  Zhang, Liang;  Tong, Zhu;  Liu, Dundun; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/09/03
Gru  K-means Clustering  Lstm  Offshore Wind Power  Offshore Wind Power Forecasting  Prediction Accuracy  Prediction Models  
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  
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  
Stochastic Unit Commitment with High-Penetration Offshore Wind Power Generation in Typhoon Scenarios Journal article
Yanqi Liu, Dundun Liu, Hongcai Zhang. Stochastic Unit Commitment with High-Penetration Offshore Wind Power Generation in Typhoon Scenarios[J]. Journal of Modern Power Systems and Clean Energy, 2024, 12(2), 535-546.
Authors:  Yanqi Liu;  Dundun Liu;  Hongcai Zhang
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2023/07/19
Unit Commitment  Two-stage Stochastic Programming  Offshore Wind Farm  Typhoon  
Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion Journal article
Huang, Xiaojia, Wang, Chen, Zhang, Shenghui. Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion[J]. Energy, 2024, 293, 130606.
Authors:  Huang, Xiaojia;  Wang, Chen;  Zhang, Shenghui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:9.0/8.2 | Submit date：2024/05/02
Model Selection  Multi-objective Optimization Algorithm  Theoretical Power Generation  Wind Speed Forecasting  
Machine Learning-Based Probabilistic Forecasting of Wind Power Generation: A Combined Bootstrap and Cumulant Method Journal article
Wan, Can, Cui, Wenkang, Song, Yonghua. Machine Learning-Based Probabilistic Forecasting of Wind Power Generation: A Combined Bootstrap and Cumulant Method[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1370-1383.
Authors:  Wan, Can;  Cui, Wenkang;  Song, Yonghua
Favorite | TC[WOS]:7 TC[Scopus]:10  IF:6.5/7.4 | Submit date：2024/02/22
Bootstrap  Cumulant  Machine Learning  Probabilistic Forecasting  Uncertainty Quantification  Wind Power