The impact of considering state-of-charge-dependent maximum charging powers on the optimal electric vehicle charging scheduling K Qian, R Fachrizal, J Munkhammar, T Ebel, RC Adam IEEE Transactions on Transportation Electrification 9 (3), 4517-4530, 2023 | 9 | 2023 |
Electric vehicle load management: An architecture for heterogeneous nodes K Qian, R Brehm, T Ebel, RC Adam IEEE Access 10, 59748-59758, 2022 | 8 | 2022 |
Reinforcement learning based EV charging scheduling: A novel action space representation K Qian, R Adam, R Brehm 2021 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-5, 2021 | 6 | 2021 |
Electric vehicle user behavior prediction using gaussian mixture models and soft information R Adam, K Qian, R Brehm 2021 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-5, 2021 | 5 | 2021 |
Urban-scale energy matching optimization with smart EV charging and V2G in a net-zero energy city powered by wind and solar energy R Fachrizal, K Qian, O Lindberg, M Shepero, R Adam, J Widén, ... ETransportation 20, 100314, 2024 | 4 | 2024 |
Validating and improving an aggregated EV model for energy systems evaluation K Qian, R Fachrizal, J Munkhammar, T Ebel, R Adam 2023 11th International Conference on Smart Grid (icSmartGrid), 1-7, 2023 | 2 | 2023 |
Large-scale EV charging scheduling considering on-site PV generation by combining an aggregated model and sorting-based methods K Qian, R Fachrizal, J Munkhammar, T Ebel, R Adam Sustainable cities and society 107, 105453, 2024 | 1 | 2024 |
Investigating KAN-Based Physics-Informed Neural Networks for EMI/EMC Simulations K Qian, M Kheir arXiv preprint arXiv:2405.11383, 2024 | | 2024 |
Smart electric vehicle charging K Qian | | 2023 |
Experimental evaluation of a method for simulation based learning for a multi-agent system acting in a physical environment K Qian, RW Brehm, L Duggen 11th International Conference on Agents and Artificial Intelligence, ICAART …, 2019 | | 2019 |