| Model-free real-time EV charging scheduling based on deep reinforcement learning Z Wan, H Li, H He, D Prokhorov IEEE Transactions on Smart Grid 10 (5), 5246-5257, 2018 | 524 | 2018 |
| Constrained EV charging scheduling based on safe deep reinforcement learning H Li, Z Wan, H He IEEE Transactions on Smart Grid 11 (3), 2427-2439, 2019 | 382 | 2019 |
| Dynamic energy management of a microgrid using approximate dynamic programming and deep recurrent neural network learning P Zeng, H Li, H He, S Li IEEE Transactions on Smart Grid 10 (4), 4435-4445, 2018 | 259 | 2018 |
| Real-time residential demand response H Li, Z Wan, H He IEEE Transactions on Smart Grid 11 (5), 4144-4154, 2020 | 194 | 2020 |
| Learning to operate distribution networks with safe deep reinforcement learning H Li, H He IEEE Transactions on Smart Grid 13 (3), 1860-1872, 2022 | 96 | 2022 |
| Residential energy management with deep reinforcement learning Z Wan, H Li, H He 2018 international joint conference on neural networks (IJCNN), 1-7, 2018 | 69 | 2018 |
| A novel multiobjective optimization algorithm for home energy management system in smart grid Y Zhang, P Zeng, S Li, C Zang, H Li Mathematical Problems in Engineering 2015 (1), 807527, 2015 | 53 | 2015 |
| MAS based distributed automatic generation control for cyber-physical microgrid system Z Li, C Zang, P Zeng, H Yu, H Li IEEE/CAA Journal of Automatica Sinica 3 (1), 78-89, 2016 | 50 | 2016 |
| Multiagent trust region policy optimization H Li, H He IEEE Transactions on Neural Networks and Learning Systems, 2023 | 49 | 2023 |
| A deep reinforcement learning based approach for home energy management system H Li, Z Wan, H He 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 37 | 2020 |
| Day-ahead hourly photovoltaic generation forecasting using extreme learning machine Z Li, C Zang, P Zeng, H Yu, H Li 2015 IEEE International Conference on Cyber Technology in Automation …, 2015 | 37 | 2015 |
| A stochastic programming strategy in microgrid cyber physical energy system for energy optimal operation H Li, C Zang, P Zeng, H Yu, Z Li IEEE/CAA Journal of Automatica Sinica 2 (3), 296-303, 2015 | 33 | 2015 |
| Analysis of multi-agent-based adaptive droop-controlled AC microgrids with PSCAD: modeling and simulation Z Li, C Zang, P Zeng, H Yu, H Li, S Li Journal of Power Electronics 15 (2), 455-468, 2015 | 29 | 2015 |
| A genetic algorithm-based hybrid optimization approach for microgrid energy management H Li, C Zang, P Zeng, H Yu, Z Li 2015 IEEE International Conference on Cyber Technology in Automation …, 2015 | 26 | 2015 |
| A data-driven approach for real-time residential EV charging management Z Wan, H Li, H He, D Prokhorov 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 23 | 2018 |
| Two-stage stochastic programming based model predictive control strategy for microgrid energy management under uncertainties Z Li, C Zang, P Zeng, H Yu, H Li 2016 International Conference on Probabilistic Methods Applied to Power …, 2016 | 18 | 2016 |
| Optimal microgrid energy management integrating intermittent renewable energy and stochastic load Y Ji, J Wang, S Yan, W Gao, H Li 2015 IEEE Advanced Information Technology, Electronic and Automation Control …, 2015 | 15 | 2015 |
| Online microgrid energy management based on safe deep reinforcement learning H Li, Z Wang, L Li, H He 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 14 | 2021 |
| An integrative DR study for optimal home energy management based on approximate dynamic programming H Li, P Zeng, C Zang, H Yu, S Li Sustainability 9 (7), 1248, 2017 | 14 | 2017 |
| Optimal home energy management integrating random PV and appliances based on stochastic programming H Li, C Zang, P Zeng, H Yu, Z Li, N Fenglian 2016 Chinese Control and Decision Conference (CCDC), 429-434, 2016 | 12 | 2016 |