Itay Segev

Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets

The objective of this study is to advance the optimization of hybrid electricity markets using multi-agent reinforcement learning (MARL). The transition from centralized systems to public–private models introduces significant challenges, including the emergence of independent market players and the