The presented slides are available at: drive.google.com/file/d/186smrtm3KZgkQuHFBkD0WeHLYKoIiGXy/view?usp=drive_link
This talk will describe some recent research works at the IETR lab on the decentralized smart charging of large fleets of electric vehicles. This work is based on an artificial intelligence method combining adaptive multi-agent systems (AMAS) and bandits (a reinforcement learning method) [Zafar, 2023]. As the training of AI-based energy management methods requires numerous iterations to determine the state of the electrical network (e.g presence/absence of congestion), whose computations may be time-consuming, recent work have focused on the development of fast surrogate mod...