avkhimen / Electric_Vehicle_Charging_Simulation

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

Date Created 2020-12-15 (4 years ago)

Commits 15 (last one 2 years ago)

Stargazers 41 (0 this week)

Watchers 1 (0 this week)

Forks 5

License unknown

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RepositoryStats indexes 595,856 repositories, of these avkhimen/Electric_Vehicle_Charging_Simulation is ranked #515,470 (13th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #100,448/119,431.

Other Information

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All Topics

q-learning vehicle-to-grid cooperative-game multi-objective-optimization multi-agent-reinforcement-learning

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6 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-10 @ 12:28pm, id: 321605667 / R_kgDOEytQIw