| Deep-reinforcement-learning-based autonomous voltage control for power grid operations J Duan, D Shi, R Diao, H Li, Z Wang, B Zhang, D Bian, Z Yi IEEE Transactions on Power Systems 35 (1), 814-817, 2019 | 324 | 2019 |
| A data-driven multi-agent autonomous voltage control framework using deep reinforcement learning S Wang, J Duan, D Shi, C Xu, H Li, R Diao, Z Wang IEEE Transactions on Power Systems 35 (6), 4644-4654, 2020 | 219 | 2020 |
| Reinforcement-learning-based optimal control of hybrid energy storage systems in hybrid AC–DC microgrids J Duan, Z Yi, D Shi, C Lin, X Lu, Z Wang IEEE Transactions on Industrial Informatics 15 (9), 5355-5364, 2019 | 139 | 2019 |
| Autonomous voltage control for grid operation using deep reinforcement learning R Diao, Z Wang, D Shi, Q Chang, J Duan, X Zhang 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 115 | 2019 |
| Decentralized high-performance control of DC microgrids C Wang, J Duan, B Fan, Q Yang, W Liu IEEE Transactions on Smart Grid 10 (3), 3355-3363, 2018 | 99 | 2018 |
| A deep reinforcement learning-based multi-agent framework to enhance power system resilience using shunt resources M Kamruzzaman, J Duan, D Shi, M Benidris IEEE Transactions on Power Systems 36 (6), 5525-5536, 2021 | 69 | 2021 |
| Q-learning-based damping control of wide-area power systems under cyber uncertainties J Duan, H Xu, W Liu IEEE Transactions on Smart Grid 9 (6), 6408-6418, 2017 | 69 | 2017 |
| Accurate power sharing and synthetic inertia control for DC building microgrids with guaranteed performance Z Yi, X Zhao, D Shi, J Duan, Y Xiang, Z Wang IEEE Access 7, 63698-63708, 2019 | 58 | 2019 |
| 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 | 56 | 2020 |
| Adaptive decentralized output-constrained control of single-bus DC microgrids J Peng, B Fan, J Duan, Q Yang, W Liu IEEE/CAA Journal of Automatica Sinica 6 (2), 424-432, 2019 | 51 | 2019 |
| A novel method of fault location for single-phase microgrids J Duan, K Zhang, L Cheng IEEE Transactions on smart grid 7 (2), 915-925, 2015 | 42 | 2015 |
| Distributed control of inverter-interfaced microgrids based on consensus algorithm with improved transient performance J Duan, C Wang, H Xu, W Liu, Y Xue, JC Peng, H Jiang IEEE Transactions on Smart Grid 10 (2), 1303-1312, 2017 | 41 | 2017 |
| Distributed control of multiple-bus microgrid with paralleled distributed generators B Fan, J Peng, J Duan, Q Yang, W Liu IEEE/CAA Journal of Automatica Sinica 6 (3), 676-684, 2019 | 37 | 2019 |
| DDPG-based multi-agent framework for SVC tuning in urban power grid with renewable energy resources X Zhang, Y Liu, J Duan, G Qiu, T Liu, J Liu IEEE Transactions on Power Systems 36 (6), 5465-5475, 2021 | 36 | 2021 |
| Zero-sum game based cooperative control for onboard pulsed power load accommodation J Duan, H Xu, W Liu, JC Peng, H Jiang IEEE Transactions on Industrial Informatics 16 (1), 238-247, 2019 | 36 | 2019 |
| Distributed control of inverter-interfaced microgrids with bounded transient line currents J Duan, C Wang, H Xu, W Liu, JC Peng, H Jiang IEEE Transactions on Industrial Informatics 14 (5), 2052-2061, 2018 | 29 | 2018 |
| A deep reinforcement learning based approach for optimal active power dispatch J Duan, H Li, X Zhang, R Diao, B Zhang, D Shi, X Lu, Z Wang, S Wang 2019 IEEE Sustainable Power and Energy Conference (iSPEC), 263-267, 2019 | 27 | 2019 |
| A Rprop-neural-network-based PV maximum power point tracking algorithm with short-circuit current limitation Y Cui, Z Yi, J Duan, D Shi, Z Wang 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2019 | 14 | 2019 |
| Active power correction strategies based on deep reinforcement learning—Part I: A simulation-driven solution for robustness P Xu, J Duan, J Zhang, Y Pei, D Shi, Z Wang, X Dong, Y Sun CSEE Journal of Power and Energy Systems 8 (4), 1122-1133, 2021 | 13 | 2021 |
| Reinforcement learning for active distribution network planning based on Monte Carlo tree search X Zhang, W Hua, Y Liu, J Duan, Z Tang, J Liu International Journal of Electrical Power & Energy Systems 138, 107885, 2022 | 12 | 2022 |
Di ShiNew Mexico State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa nmsu.edu
