| Optimal operation strategy for interconnected microgrids in market environment considering uncertainty X Kong, D Liu, C Wang, F Sun, S Li Applied Energy 275, 115336, 2020 | 61 | 2020 |
| Hierarchical optimal scheduling method of heat-electricity integrated energy system based on Power Internet of Things X Kong, F Sun, X Huo, X Li, Y Shen Energy 210, 118590, 2020 | 42 | 2020 |
| Two-stage optimal scheduling of large-scale renewable energy system considering the uncertainty of generation and load X Kong, S Quan, F Sun, Z Chen, X Wang, Z Zhou Applied Sciences 10 (3), 971, 2020 | 11 | 2020 |
| DSM pricing method based on A3C and LSTM under cloud-edge environment F Sun, X Kong, J Wu, B Gao, K Chen, N Lu Applied Energy 315, 118853, 2022 | 8 | 2022 |
| Research on multi-energy coordinated intelligent management technology of urban power grid under the environment of energy internet X Wang, X Kong, Z E, F Sun, C Zhang Applied Sciences 9 (13), 2608, 2019 | 6 | 2019 |
| 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 | 3 | 2023 |
| 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 |
| Operation strategy of park microgrid with multi‐stakeholder based on bi‐level optimisation X Kong, D Liu, F Sun, S Chen, S Li IET Generation, Transmission & Distribution 14 (21), 4946-4955, 2020 | 2 | 2020 |
| An Intelligent Parameter Identification Method of DFIG Systems Using Hybrid Particle Swarm Optimization and Reinforcement Learning X Xiang, R Diao, S Bernadin, SY Foo, F Sun, AS Ogundana IEEE Access 12, 44080-44090, 2024 | 1 | 2024 |
| Operation Strategy of Park Microgrid with Multi‐stakeholder Based on Artificial Immune System X Kong, D Liu, F Sun, C Wang, X Huo, S Li Design, Control, and Operation of Microgrids in Smart Grids, 121-150, 2021 | 1 | 2021 |
| 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 |
| Supervised Learning-Aided Volt/Var Control for Active Distribution Networks with Increasing Renewable Energy Considering Uncertainties B Zhu, L Wu, Y Xiao, R Diao, F Sun 2023 4th International Conference on Advanced Electrical and Energy Systems …, 2023 | | 2023 |
| 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 |
| Multi-Agent LSTM Optimal Strategy of Microgrid-Distribution Layered Network Considering High Proportion of Renewable Energy W Lu, Y Shen, X Kong, W Hu, F Sun 2021 24th International Conference on Electrical Machines and Systems (ICEMS …, 2021 | | 2021 |
| Dynamic Aggregation and Analysis Method of Demand Response Resources of VPP Based on Market Mechanism S Li, X Huo, Z Li, Y Liu, Q Yu, F Sun Proceedings of the 3rd International Conference on Information Technologies …, 2020 | | 2020 |
| Analysis Method of Power Consumption Characteristics of Residents in Low-Voltage Stations Based on Clustering Algorithm Q Xu, X Kong, X Zhao, F Sun, C Liu, Z Yuan Proceedings of the 3rd International Conference on Information Technologies …, 2020 | | 2020 |
| Multi-Time Scale Dynamic Analysis for Hybrid Energy Storage System Through Individual Based Model Method F Sun, X Kong, Q Guo, Y Zhu 2020 23rd International Conference on Electrical Machines and Systems (ICEMS …, 2020 | | 2020 |
