| A data-driven method for fast ac optimal power flow solutions via deep reinforcement learning Y Zhou, B Zhang, C Xu, T Lan, R Diao, D Shi, Z Wang, WJ Lee Journal of Modern Power Systems and Clean Energy 8 (6), 1128-1139, 2020 | 66 | 2020 |
| AI-based autonomous line flow control via topology adjustment for maximizing time-series ATCs T Lan, J Duan, B Zhang, D Shi, Z Wang, R Diao, X Zhang 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 58 | 2020 |
| A DRL-aided multi-layer stability model calibration platform considering multiple events S Wang, R Diao, T Lan, Z Wang, D Shi, H Li, X Lu 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 16 | 2020 |
| Real-time autonomous line flow control using proximal policy optimization B Zhang, X Lu, R Diao, H Li, T Lan, D Shi, Z Wang 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 12 | 2020 |
| Unsupervised power system event detection and classification using unlabeled pmu data T Lan, Y Lin, J Wang, B Leao, D Fradkin 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 01-05, 2021 | 6 | 2021 |
| Deriving AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation Y Zhou, B Zhang, C Xu, T Lan, R Diao, D Shi, Z Wang, WJ Lee arXiv preprint arXiv:2003.12584, 2020 | 6 | 2020 |
| Application of reinforcement learning in planning and operation of new power system towards carbon peaking and neutrality F Sun, Z Wang, J Huang, R Diao, Y Zhao, T Lan Progress in Energy 5 (1), 012005, 2023 | 2 | 2023 |
| On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control R Diao, D Shi, B Zhang, S Wang, H Li, C Xu, T Lan, D Bian, J Duan 2020 NeurIPS Workshop on Machine Learning for Engineering Modeling …, 2020 | 2 | 2020 |
| Prediction-based EV-PV coordination strategy for charging stations using reinforcement learning F Sun, R Diao, B Zhou, T Lan, T Mao, S Su, H Cheng, D Meng, S Lu IEEE Transactions on Industry Applications, 2023 | 1 | 2023 |
| A Machine Learning-Based SVG Parameter Identification Framework Using Hardware-in-the-Loop Testbed H Gao, Z Huang, R Diao, J Zhang, B Hou, C Wu, F Sun, T Lan IEEE Transactions on Power Systems, 2024 | | 2024 |
| An Intelligent Multi-Source Data Clustering and Analysis Method for AC/DC Hybrid Power Grid Planning with Increased Complexity T Lan, A Zhou, R Diao, F Sun, R Zeng, X Shen, C Huang, Z Zheng 2023 IEEE 6th International Electrical and Energy Conference (CIEEC), 3788-3793, 2023 | | 2023 |
| MindSynchro B Paes Leao, D Fradkin, Y Wang, S Suresh, J Wang, T Lan, Y Lin, X Lu, ... Siemens Corp., Princeton, NJ (United States), 2021 | | 2021 |
| Unleashing the Power of Industrial Big Data through Scalable Manual Labeling BP Leao, D Fradkin, T Lan, J Wang 2021 NeurIPS Data-Centric AI Workshop, 2021 | | 2021 |
Ruisheng Diao, Ph.D., PE, FIETZJU-UIUC Institute, Zhejiang UniversityVahvistettu sähköpostiosoite verkkotunnuksessa intl.zju.edu.cn
