A Fully Data-Driven Method based on Generative Adversarial Networks for Power System Dynamic Security Assessment with Missing Data C Ren, Y Xu IEEE Transactions on Power Systems, 2019 | 236 | 2019 |
Transfer Learning-based Power System Online Dynamic Security Assessment: Using One Model to Assess Many Unlearned Faults C Ren, Y Xu IEEE Transactions on Power Systems, 2019 | 118 | 2019 |
A Hierarchical Data-Driven Method for Event-based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems Q Li, Y Xu, C Ren IEEE Transactions on Industrial Informatics, 2020 | 76 | 2020 |
A Hybrid Randomized Learning System for Temporal-Adaptive Voltage Stability Assessment of Power Systems C Ren, Y Xu, Y Zhang, R Zhang IEEE Transactions on Industrial Informatics, 2019 | 65 | 2019 |
An Integrated Transfer Learning Method for Power System Dynamic Security Assessment of Unlearned Faults with Missing Data C Ren, Y Xu, B Dai, R Zhang IEEE Transactions on Power Systems, 2021 | 51 | 2021 |
Post-Disturbance Transient Stability Assessment of Power Systems towards Optimal Accuracy-Speed Tradeoff C Ren, Y Xu, Y Zhang Protection and Control of Modern Power Systems 3 (2), 1-10, 2018 | 51 | 2018 |
An Interpretable Deep Learning Method for Power System Transient Stability Assessment via Tree Regularization C Ren, Y Xu, R Zhang IEEE Transactions on Power Systems, 2021 | 50 | 2021 |
FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning L Yi, H Yu, C Ren, G Wang, X Liu arXiv preprint arXiv:2310.13283, 2024 | 41 | 2024 |
PV Generation Forecasting with Missing Data: A Super-Resolution Perception Approach W Liu, C Ren, Y Xu IEEE Transactions on Sustainable Energy, 2020 | 41 | 2020 |
Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-based Power System Stability Assessment Model under Adversarial Examples C Ren, X Du, Y Xu, Q Song, Y Liu, R Tan IEEE Transactions on Smart Grid 13 (2), 1622-1632, 2021 | 34 | 2021 |
Robustness Verification for Machine Learning-based Power System Dynamic Security Assessment Models under Adversarial Examples C Ren, Y Xu IEEE Transactions on Control of Network Systems, 2022 | 31 | 2022 |
Towards Quantum Federated Learning C Ren, R Yan, H Zhu, H Yu, M Xu, Y Shen, Y Xu, M Xiao, ZY Dong, ... IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025 | 23 | 2025 |
A Super-Resolution Perception-based Incremental Learning Approach for Power System Voltage Stability Assessment with Missing PMU Measurements C Ren, Y Xu, J Zhao, R Zhang, T Wan CSEE Journal of Power and Energy Systems, 2021 | 20 | 2021 |
Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment Q Song, R Tan, C Ren, Y Xu 12th ACM International Conference on Future Energy Systems (e-Energy), 2021 | 19 | 2021 |
A Hybrid Data-Driven Method for Online Power System Dynamic Security Assessment with Incomplete PMU Measurements Q Li, Y Xu, C Ren, J Zhao 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 19 | 2019 |
A Multiple Randomized Learning-based Ensemble Model for Power System Dynamic Security Assessment C Ren, Y Xu, Y Zhang, C Hu 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 18 | 2018 |
Pre-Fault Dynamic Security Assessment of Power Systems for Multiple Different Faults via Multi-Label Learning C Ren, H Yuan, Q Li, Y Xu, R Zhang IEEE Transactions on Power Systems, 2022 | 16 | 2022 |
A Universal Defense Strategy for Data-Driven Power System Stability Assessment Models under Adversarial Examples C Ren, Y Xu IEEE Internet of Things Journal, 2022 | 15 | 2022 |
A Missing-Data Tolerant Hybrid Learning Method for Solar Power Forecasting W Liu, C Ren, Y Xu IEEE Transactions on Sustainable Energy, 2022 | 13 | 2022 |
FedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning L Yi, H Yu, C Ren, H Zhang, G Wang, X Liu, X Li arXiv preprint arXiv:2402.01350, 2024 | 12 | 2024 |