Suivre
Chao Ren
Chao Ren
Principal Investigator, Presidential Postdoctoral Fellow, KTH Royal Institute of Technology
Adresse e-mail validée de kth.se - Page d'accueil
Titre
Citée par
Citée par
Année
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
2362019
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
1182019
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
762020
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
652019
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
512021
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
512018
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
502021
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
412024
PV Generation Forecasting with Missing Data: A Super-Resolution Perception Approach
W Liu, C Ren, Y Xu
IEEE Transactions on Sustainable Energy, 2020
412020
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
342021
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
312022
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
232025
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
202021
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
192021
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
192019
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
182018
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
162022
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
152022
A Missing-Data Tolerant Hybrid Learning Method for Solar Power Forecasting
W Liu, C Ren, Y Xu
IEEE Transactions on Sustainable Energy, 2022
132022
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
122024
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20