| Detecting false data injection attacks in smart grids: A semi-supervised deep learning approach Y Zhang, J Wang, B Chen IEEE Transactions on Smart Grid 12 (1), 623-634, 2021 | 279 | 2021 |
| Deep reinforcement learning based volt-var optimization in smart distribution systems Y Zhang, X Wang, J Wang, Y Zhang IEEE Transactions on Smart Grid 12 (1), 361-371, 2021 | 249 | 2021 |
| A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System Y Chen, Y Yao, Y Zhang IEEE Transactions on Smart Grid, 2021 | 126 | 2021 |
| Deep Learning Based Time-Varying Parameter Identification for System-Wide Load Modeling M Cui, M Khodayar, C Chen, X Wang, Y Zhang, ME Khodayar IEEE Transactions on Smart Grid, 2019 | 104 | 2019 |
| Interval State Estimation with Uncertainty of Distributed Generation and Line Parameters in Unbalanced Distribution Systems Y Zhang, J Wang, Z Li IEEE Transactions on Power Systems, 2019 | 91 | 2019 |
| Uncertainty modeling of distributed energy resources: techniques and challenges Y Zhang, J Wang, Z Li Current Sustainable/Renewable Energy Report, 1-1, 2019 | 82* | 2019 |
| Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems Y Zhang, J Wang, J Liu IEEE Transactions on Smart Grid, 2019 | 74 | 2019 |
| Graph-based Faulted Line Identification Using Micro-PMU Data in Distribution Systems Y Zhang, J Wang, M Khodayar IEEE Transactions on Smart Grid, 2020 | 63 | 2020 |
| A new fault-location algorithm for series-compensated double-circuit transmission lines based on the distributed parameter model Y Zhang, J Liang, Z Yun, X Dong IEEE Transactions on Power Delivery 32 (6), 2398-2407, 2016 | 43 | 2016 |
| Towards Highly Efficient State Estimation with Nonlinear Measurements in Distribution Systems Y Zhang, J Wang IEEE Transactions on Power Systems, 2020 | 31 | 2020 |
| Deep Generative Graph Distribution Learning for Synthetic Power Grids M Khodayar, Y Zhang, J Wang, Z Wang IEEE, 2018 | 16 | 2018 |
| Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control Y Zhang, M Yue, J Wang, S Yoo IEEE Transactions on Neural Networks and Learning Systems, 2024 | 11 | 2024 |
| Artificial intelligence applications in electric distribution systems: post-pandemic progress and prospect S Chung, Y Zhang Applied Sciences 13 (12), 6937, 2023 | 10 | 2023 |
| Addressing Wind Power Forecast Errors in Day-Ahead Pricing With Energy Storage Systems: A Distributionally Robust Joint Chance-Constrained Approach A Zhou, M Yang, X Fang, Y Zhang IEEE Transactions on Sustainable Energy, 2024 | 7 | 2024 |
| Improved traveling wave based fault location scheme for transmission lines H Liu, T Jia, L Mou, X Zheng, Y Zhang, F Zhang 2015 5th International Conference on Electric Utility Deregulation and …, 2015 | 7 | 2015 |
| Scalable deep reinforcement learning-based Volt-Var optimization in distribution systems: A mean-field approach T Zhao, Y Zhang, M Yue 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 6 | 2022 |
| Adaptive load shedding for grid emergency control via deep reinforcement learning Y Zhang, M Yue, J Wang 2021 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2021 | 6 | 2021 |
| Off-policy deep reinforcement learning with automatic entropy adjustment for adaptive online grid emergency control Y Zhang, M Yue, J Wang Electric Power Systems Research 217, 109136, 2023 | 5 | 2023 |
| 基于无线传感装置的配电网故障定位与自愈系统研究 张学清， 梁中会， 张莹， 丛志鹏， 王成福 山东电力技术 44 (7), 1-5, 2017 | 3 | 2017 |
| Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control Y Zhang, M Yue 2024 IEEE PES Innovative Smart Grid Technologies Conference, 2024 | 1 | 2024 |
Jianhui Wang, Professor, IEEE FellowSouthern Methodist UniversityE-mail megerősítve itt: smu.edu
