| Accelerated derivative-free deep reinforcement learning for large-scale grid emergency voltage control R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang IEEE Transactions on Power Systems 37 (1), 14-25, 2021 | 34 | 2021 |
| Learning and fast adaptation for grid emergency control via deep meta reinforcement learning R Huang, Y Chen, T Yin, Q Huang, J Tan, W Yu, X Li, A Li, Y Du IEEE Transactions on Power Systems 37 (6), 4168-4178, 2022 | 27 | 2022 |
| Transmission line fault location using deep learning techniques R Fan, T Yin, R Huang, J Lian, S Wang 2019 North American Power Symposium (NAPS), 1-5, 2019 | 23 | 2019 |
| Safe reinforcement learning for emergency load shedding of power systems TL Vu, S Mukherjee, T Yin, R Huang, J Tan, Q Huang 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 22 | 2021 |
| Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data X Zang, T Yin, Z Hou, RP Mueller, ZD Deng, PT Jacobson Remote Sensing 13 (14), 2671, 2021 | 20 | 2021 |
| Accelerated deep reinforcement learning based load shedding for emergency voltage control R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang arXiv preprint arXiv:2006.12667, 2020 | 17 | 2020 |
| Local feature sufficiency exploration for predicting security-constrained generation dispatch in multi-area power systems Y Sun, X Fan, Q Huang, X Li, R Huang, T Yin, G Lin 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 15 | 2018 |
| Physics-informed evolutionary strategy based control for mitigating delayed voltage recovery Y Du, Q Huang, R Huang, T Yin, J Tan, W Yu, X Li IEEE Transactions on Power Systems 37 (5), 3516-3527, 2021 | 14 | 2021 |
| Bridging the gap between laboratory and field experiments in American eel detection using transfer learning and convolutional neural network T Yin, X Zang, ZJ Hou, P Jacobson, R Mueller, Z Deng | 11 | 2020 |
| Initial investigation of data mining applications in event classification and location identification using simulated data from MinniWECC T Yin, SS Wulff, JW Pierre, D Duan, DJ Trudnowski, M Donnelly 2016 North American Power Symposium (NAPS), 1-6, 2016 | 10 | 2016 |
| Scalable voltage control using structure-driven hierarchical deep reinforcement learning S Mukherjee, R Huang, Q Huang, TL Vu, T Yin arXiv preprint arXiv:2102.00077, 2021 | 9 | 2021 |
| Parameters calibration for power grid stability models using deep learning methods R Huang, R Fan, T Yin, S Wang, Z Tan arXiv preprint arXiv:1905.03172, 2019 | 9 | 2019 |
| Convolutional neural network and transfer learning for high impedance fault detection R Fan, T Yin arXiv preprint arXiv:1904.08863, 2019 | 9 | 2019 |
| Big data analytic for cascading failure analysis Y Chen, T Yin, R Huang, X Fan, Q Huang 2019 IEEE International Conference on Big Data (Big Data), 1625-1630, 2019 | 6 | 2019 |
| A case study on the use of data mining for detecting and classifying abnormal power system modal behaviors T Yin, SS Wulff, JW Pierre, TJ Robinson Quality Engineering 31 (2), 314-333, 2019 | 6 | 2019 |
| Enhancing cyber resilience of networked microgrids using vertical federated reinforcement learning S Mukherjee, RR Hossain, Y Liu, W Du, V Adetola, SM Mohiuddin, ... 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 4 | 2023 |
| Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction T Yin, G Panapitiya, ED Coda, EG Saldanha Journal of Cheminformatics 15 (1), 105, 2023 | 3 | 2023 |
| New data-driven approach to bridging power system protection gaps with deep learning R Fan, T Yin, K Yang, J Lian, J Buckheit Electric Power Systems Research 208, 107863, 2022 | 3 | 2022 |
| Bridging power system protection gaps with data-driven approaches T Yin, J Lian, J Buckheit, R Fan Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2021 | 3 | 2021 |
| Regional oscillation source localization: Implementation in the ESAMS tool JD Follum, TT Yin, NJ Betzsold Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2020 | 3 | 2020 |
Renke HuangShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
