| 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 | 168 | 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 | 26 | 2022 |
| 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, 2022 | 9 | 2022 |
| 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, 2023 | 7 | 2023 |
| 融合虚拟对抗训练和均值教师模型的主导失稳模式识别半监督学习框架 张润丰, 姚伟, 石重托, 汤涌, 文劲宇 中国电机工程学报 42 (20), 7497-7509, 2022 | 2 | 2022 |
| 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 | | 2021 |
