| Review of distribution network phase unbalance: Scale, causes, consequences, solutions, and future research directions K Ma, L Fang, W Kong CSEE Journal of Power and Energy systems 6 (3), 479-488, 2020 | 87 | 2020 |
| A statistical approach to estimate imbalance-induced energy losses for data-scarce low voltage networks L Fang, K Ma, R Li, Z Wang, H Shi IEEE Transactions on Power Systems 34 (4), 2825-2835, 2019 | 27 | 2019 |
| A statistical approach to guide phase swapping for data-scarce low voltage networks L Fang, K Ma, X Zhang IEEE Transactions on Power Systems 35 (1), 751-761, 2019 | 17 | 2019 |
| Cost-benefit analysis of phase balancing solution for data-scarce LV networks by cluster-wise gaussian process regression W Kong, K Ma, L Fang, R Wei, F Li IEEE Transactions on Power systems 35 (4), 3170-3180, 2020 | 14 | 2020 |
| Towards the applicability of solar nowcasting: A practice on predictive PV power ramp-rate control X Chen, Y Du, E Lim, L Fang, K Yan Renewable Energy 195, 147-166, 2022 | 11 | 2022 |
| Network pricing for multienergy systems under long-term load growth uncertainty S Cheng, C Gu, X Yang, S Li, L Fang, F Li IEEE Transactions on Smart Grid 13 (4), 2715-2729, 2022 | 9 | 2022 |
| Robust proactive power smoothing control of PV systems based on deep reinforcement learning X Chen, X Xu, J Wang, L Fang, Y Du, EG Lim, J Ma IEEE Transactions on Sustainable Energy, 2023 | 6 | 2023 |
| Research on object detection of overhead transmission lines based on optimized YOLOv5s J Gu, J Hu, L Jiang, Z Wang, X Zhang, Y Xu, J Zhu, L Fang Energies 16 (6), 2706, 2023 | 5 | 2023 |
| Estimate the Probability Distribution of Imbalance-Induced Energy Loss With Minimal Data H Wu, Y Yuan, K Ma, L Fang IEEE Transactions on Power Systems 36 (4), 3798-3801, 2021 | 3 | 2021 |
| Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications M Yazdani-Asrami, L Fang, X Pei, W Song Superconductor Science and Technology 36 (8), 085021, 2023 | 2 | 2023 |
| Novel Incentive Scheme to Motivate Flexible Customers for Phase Balancing L Fang, K Ma, F Li, F Xue CSEE Journal of Power and Energy Systems 8 (4), 1048-1059, 2022 | 2 | 2022 |
| Cooperative multi-agent deep reinforcement learning based decentralized framework for dynamic renewable hosting capacity assessment in distribution grids X Xu, X Chen, J Wang, L Fang, F Xue, EG Lim Energy Reports 9, 441-448, 2023 | 1 | 2023 |
| Assessment of additional phase energy losses caused by phase imbalance for data‐scarce LV networks L Fang, K Ma IET Generation, Transmission & Distribution 14 (4), 675-681, 2020 | 1 | 2020 |
| The Imbalance-Induced Resistive Heating Profiles Analysis for Low Voltage Transformers L Fang, K Ma, S Xiao 2019 2nd International Conference on Electrical Materials and Power …, 2019 | 1 | 2019 |
| 基于双重差分模型的分时电价机制对用电成本的影响分析 (Analysis on the Effect of Time-of-Use Electricity Price on Electricity Cost Based on Difference-in-Differences Model) J Li, P You, C Zhang, L Fang, W Zhang 中国电力 (Electric Power), 2024 | | 2024 |
| Review of Distribution Network Phase Imbalance: Scale, Consequences, Solutions, and Future Research Direction K Ma, L Fang, W Kong Authorea Preprints, 2023 | | 2023 |
| A spatiotemporal reallocation method for energy management in edge data centres J Li, C Gu, L Fang, X Wei, Y Zhu, Y Xiang CSEE Journal of Power and Energy Systems, 2022 | | 2022 |
| Comparing Spatio-Temporal Models for Aggregate PV Power Nowcasting G Ruan, X Chen, Y Du, EG Lim, L Fang, K Yan 2022 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 580-584, 2022 | | 2022 |
| Trans-provincial Clearing Mechanism for Capacity Market in China (适应中国背景的跨省区容量市场联合出清机制 Q Sun, D Xing, C Zhang, L Fang, B You, S Li Proceedings of the CSU-EPSA (电力系统及其自动化学报), 2022 | | 2022 |
| A statistical methodology to identify imbalance-induced capacity wastes for LV networks L Fang, K Ma, Z Zhang Electric Power Systems Research 199, 107388, 2021 | | 2021 |
Kang MaUniversity of BathVerified email at bath.ac.uk
