ติดตาม
Chao Ren
Chao Ren
Principal Investigator, Presidential Postdoctoral Fellow, KTH Royal Institute of Technology
ยืนยันอีเมลแล้วที่ kth.se - หน้าแรก
ชื่อ
อ้างโดย
อ้างโดย
ปี
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
2002019
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
952019
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
702020
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
572019
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
422018
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
342021
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
332021
PV Generation Forecasting with Missing Data: A Super-Resolution Perception Approach
W Liu, C Ren, Y Xu
IEEE Transactions on Sustainable Energy, 2020
332020
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
272021
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
212022
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
192024
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
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
152021
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
142019
Towards Quantum Federated Learning
C Ren, R Yan, H Zhu, H Yu, M Xu, Y Shen, Y Xu, M Xiao, ZY Dong, ...
arXiv preprint arXiv:2306.09912, 2023
132023
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
132021
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
122022
A Missing-Data Tolerant Hybrid Learning Method for Solar Power Forecasting
W Liu, C Ren, Y Xu
IEEE Transactions on Sustainable Energy, 2022
122022
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
92022
EFedDSA: An Efficient Differential Privacy-based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment
C Ren, T Wang, H Yu, Y Xu, ZY Dong
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
82023
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บทความ 1–20