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vehicle-to-grid

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avkhimen / Electric_Vehicle_Charging_Simulation

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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.

q-learning multi-objective-optimization cooperative-game multi-agent-reinforcement-learning vehicle-to-grid
  • Updated Apr 11, 2022
  • Python

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