| Safe off-policy deep reinforcement learning algorithm for Volt-VAR control problems in power distribution systems W Wang, N Yu, Y Gao, S Jie IEEE Transactions on Smart Grid 11 (4), 3008-3018, 2020 | 268* | 2020 |
| Advanced solutions in power systems: HVDC, FACTS, and Artificial Intelligence M Eremia, CC Liu, AA Edris (No Title), 2016 | 253 | 2016 |
| Convergence of the surrogate Lagrangian relaxation method GS Mikhail Bragin, Peter Luh, Joseph Yan, Nanpeng Yu Journal of Optimization Theory and Applications, 1-29, 2014 | 140* | 2014 |
| Big data analytics in power distribution systems N Yu, S Shah, R Johnson, R Sherick, M Hong, K Loparo 2015 IEEE power & energy society innovative smart grid technologies …, 2015 | 139 | 2015 |
| Consensus multi-agent reinforcement learning for Volt-VAR control in power distribution networks Y Gao, W Wang, N Yu IEEE Transactions on Smart Grid 12 (4), 3594-3604, 2021 | 132 | 2021 |
| Operating electric vehicle fleet for ride-hailing services with reinforcement learning J Shi, Y Gao, W Wang, N Yu, P Ioannou IEEE Transactions on Intelligent Transportation Systems 21 (11), 4822-4834, 2019 | 129 | 2019 |
| Batch-constrained reinforcement learning for dynamic distribution network reconfiguration Y Gao, W Wang, J Shi, N Yu IEEE Transactions on Smart Grid 11 (6), 5357-5369, 2020 | 126 | 2020 |
| Evaluation of market rules using a multi-agent system method NP Yu, CC Liu, J Price IEEE Transactions on Power Systems 25 (1), 470-479, 2009 | 118 | 2009 |
| Phase identification in electric power distribution systems by clustering of smart meter data W Wang, N Yu, B Foggo, J Davis, J Li 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 115 | 2016 |
| A physically inspired data-driven model for electricity theft detection with smart meter data Y Gao, B Foggo, N Yu IEEE Transactions on Industrial Informatics 15 (9), 5076-5088, 2019 | 102 | 2019 |
| Coordinating the operations of smart buildings in smart grids Y Liu, N Yu, W Wang, X Guan, Z Xu, B Dong, T Liu Applied Energy 228, 2510-2525, 2018 | 95 | 2018 |
| Energy efficient building HVAC control with real-time occupancy prediction J Shi, N Yu, W Yao 8th International Conference on Sustainability in Energy and Buildings 111 …, 2017 | 94* | 2017 |
| Deep reinforcement learning enabled physical-model-free two-timescale voltage control method for active distribution systems D Cao, J Zhao, W Hu, F Ding, N Yu, Q Huang, Z Chen IEEE Transactions on Smart Grid 13 (1), 149-165, 2021 | 86 | 2021 |
| Learning to operate an electric vehicle charging station considering vehicle-grid integration Z Ye, Y Gao, N Yu IEEE Transactions on Smart Grid 13 (4), 3038-3048, 2021 | 78 | 2021 |
| Proactive demand participation of smart buildings in smart grid T Wei, Q Zhu, N Yu IEEE Transactions on Computers 65 (5), 1392-1406, 2015 | 76 | 2015 |
| Stochastic valuation of energy storage in wholesale power markets N Yu, B Foggo Energy Economics 64, 177-185, 2017 | 75 | 2017 |
| Improved battery storage valuation through degradation reduction B Foggo, N Yu IEEE Transactions on Smart Grid 9 (6), 5721-5732, 2018 | 69 | 2018 |
| Financial bilateral contract negotiation in wholesale electricity markets using Nash bargaining theory N Yu, L Tesfatsion, CC Liu IEEE Transactions on Power Systems 27 (1), 251-267, 2011 | 69 | 2011 |
| Multi-agent deep reinforcement learning for voltage control with coordinated active and reactive power optimization D Hu, Z Ye, Y Gao, Z Ye, Y Peng, N Yu IEEE Transactions on Smart Grid 13 (6), 4873-4886, 2022 | 66 | 2022 |
| Joint estimation of behind-the-meter solar generation in a community F Kabir, N Yu, W Yao, R Yang, Y Zhang IEEE Transactions on Sustainable Energy 12 (1), 682-694, 2020 | 66 | 2020 |
Yuanqi GaoUniversity of California, Riversideucr.edu의 이메일 확인됨
