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Chao Ren
Chao Ren
Principal Investigator, Presidential Postdoctoral Fellow, KTH Royal Institute of Technology
在 kth.se 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1902019
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
872019
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
682020
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
562019
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
292021
PV Generation Forecasting with Missing Data: A Super-Resolution Perception Approach
W Liu, C Ren, Y Xu
IEEE Transactions on Sustainable Energy, 2020
292020
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
252021
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
252021
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
202022
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
172018
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
122019
Towards quantum federated learning
C Ren, H Yu, R Yan, M Xu, Y Shen, H Zhu, D Niyato, ZY Dong, LC Kwek
arXiv preprint arXiv:2306.09912, 2023
102023
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
102022
A Missing-Data Tolerant Hybrid Learning Method for Solar Power Forecasting
W Liu, C Ren, Y Xu
IEEE Transactions on Sustainable Energy, 2022
92022
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
92021
On credibility of adversarial examples against learning-based grid voltage stability assessment
Q Song, R Tan, C Ren, Y Xu, Y Lou, J Wang, HB Gooi
IEEE Transactions on Dependable and Secure Computing, 2022
72022
SecFedSA: A Secure Differential Privacy-based Federated Learning Approach for Smart Cyber-Physical Grid Stability Assessment
C Ren, H Yu, R Yan, Q Li, Y Xu, N Dusit, ZY Dong
IEEE Internet of Things Journal, 2023
62023
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
62022
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