| Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions Z Shi, W Yao, Z Li, L Zeng, Y Zhao, R Zhang, Y Tang, J Wen Applied Energy 278, 115733, 2020 | 259 | 2020 |
| Convolutional neural network-based power system transient stability assessment and instability mode prediction Z Shi, W Yao, L Zeng, J Wen, J Fang, X Ai, J Wen Applied Energy 263, 114586, 2020 | 229 | 2020 |
| A graph attention networks-based model to distinguish the transient rotor angle instability and short-term voltage instability in power systems R Zhang, W Yao, Z Shi, L Zeng, Y Tang, J Wen International Journal of Electrical Power & Energy Systems 137, 107783, 2022 | 36 | 2022 |
| Bidirectional Active Transfer Learning for Adaptive Power System Stability Assessment and Dominant Instability Mode Identification Z Shi, W Yao, Y Tang, X Ai, J Wen, S Cheng IEEE Transactions on Power Systems, 2022 | 24 | 2022 |
| Commutation failure analysis and prevention of UHVDC system with hierarchical connection considering voltage harmonics L Wang, W Yao, Y Xiong, Z Shi, J Wen IEEE Transactions on Power Delivery 37 (4), 3142-3154, 2021 | 24 | 2021 |
| Adaptive dual droop control of MTDC integrated offshore wind farms for fast frequency support Y Xiong, W Yao, Z Shi, J Fang, X Ai, J Wen, S Cheng IEEE Transactions on Power Systems 38 (3), 2525-2538, 2022 | 22 | 2022 |
| MatPSST: A Matlab/Simulink‐based power system simulation toolbox for research and education S Lin, W Yao, Y Xiong, Y Zhao, Z Shi, X Ai, J Wen IET Generation, Transmission & Distribution 17 (10), 2272-2288, 2023 | 21 | 2023 |
| Towards multi-scenario power system stability analysis: An unsupervised transfer learning method combining DGAT and data augmentation R Zhang, W Yao, Z Shi, X Ai, Y Tang, J Wen IEEE Transactions on Power Systems 38 (6), 5367-5380, 2022 | 17 | 2022 |
| Knowledge-enhanced deep reinforcement learning for intelligent event-based load shedding Z Hu, Z Shi, L Zeng, W Yao, Y Tang, J Wen International Journal of Electrical Power & Energy Systems 148, 108978, 2023 | 13 | 2023 |
| Intelligent power system stability assessment and dominant instability mode identification using integrated active deep learning Z Shi, W Yao, Y Tang, X Ai, J Wen, S Cheng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12 | 2023 |
| Encoding time series as images: A robust and transferable framework for power system DIM identification combining rules and VGGNet R Zhang, W Yao, Z Shi, X Ai, Y Tang, J Wen IEEE Transactions on Power Systems 38 (6), 5781-5793, 2023 | 12 | 2023 |
| Intelligent and rapid event-based load shedding pre-determination for large-scale power systems: Knowledge-enhanced parallel branching dueling Q-network approach Z Hu, W Yao, Z Shi, H Shuai, W Gan, J Wen Applied Energy 347, 121468, 2023 | 7 | 2023 |
| Three-stage dynamic equivalent modeling approach for wind farm using accurate crowbar status identification and voltage differences among wind turbines S Lin, W Yao, Y Xiong, Z Shi, Y Zhao, X Ai, J Wen Electric Power Systems Research 228, 110091, 2024 | 5 | 2024 |
| Vector-variable based modeling method for large-scale wind farm considering collector system dynamics S Lin, W Yao, Y Zhao, Z Shi, L Peng, Y Cheng, X Ai, J Wen International Journal of Electrical Power & Energy Systems 149, 109016, 2023 | 5 | 2023 |
| Two-stage weakly supervised learning to mitigate label noise for intelligent identification of power system dominant instability mode Z Shi, W Yao, Y Zhao, X Ai, J Wen, S Cheng Applied Energy 359, 122659, 2024 | 3 | 2024 |
| SHAP Algorithm for Transparent Power System Transient Stability Assessment: Critical Impact Factors Identification Y Lan, Z Shi, W Yao, R Zhou, F Luo, J Wen 2023 International Conference on Power System Technology (PowerCon), 01-06, 2023 | 3 | 2023 |
| Fast Shapelet Learning for Power System Dominant Instability Mode Identification R Zhang, Z Shi, W Yao, Y Huang, Y Tang, J Wen 2021 International Conference on Power System Technology (POWERCON), 2033-2037, 2021 | 2 | 2021 |
| Learn From Raw Data or Statistical Featuresƒ A Comparison Between Two Deep Learning Patterns in Power System Stability Analysis Z Shi, W Yao, Y Huang, Y Tang, J Wen 2021 International Conference on Power System Technology (POWERCON), 1968-1973, 2021 | 1 | 2021 |
| Two-Stage Intelligent Identification of Dominant Instability Modes in Large Power Systems Based on Minimum Random Convolution Kernel Transformation and Extreme Gradient Boosting X Pan, Y Wang, W Qiu, N Liu, Z Shi, Y Lan 2024 6th International Conference on Energy, Power and Grid (ICEPG), 888-893, 2024 | | 2024 |
| Multi-Frequency Oscillation Source Location Based on STFT and Two-Stage Deep Transfer Learning M Yu, W Yao, Y Zhao, Z Shi, D Li, J Wen 2023 International Conference on Power System Technology (PowerCon), 1-6, 2023 | | 2023 |
Wei Yao (姚伟)Huazhong University of Science and Technology, Wuhan, P. R. ChinaDirección de correo verificada de hust.edu.cn