Efficient and Private Scheduling of Wireless Electric Vehicles Charging Using Reinforcement Learning
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DOI: 10.1109/tits.2022.3230012
Abstract: Future vehicle-to-grid (V2G) systems require more flexible scheduling to adjust and flatten the peak energy demand. For efficient scheduling and energy trading, the utility provider (UP) needs to keep track of the state of charge… read more here.
Keywords: reinforcement learning; scheduling; electric vehicles; scheduling wireless ... See more keywords