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Kun Qian
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Year
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
92023
Electric vehicle load management: An architecture for heterogeneous nodes
K Qian, R Brehm, T Ebel, RC Adam
IEEE Access 10, 59748-59758, 2022
82022
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
62021
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
52021
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
22024
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
22023
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, 105453, 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
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Articles 1–9