Reinforcement Learning for Smart Management of Renewable Energy Communities

Renewable energy sources, as vital as they are volatile, are at the center of new distributed energy production systems, such as Renewable Energy Communities (RECs). However, the limited controllability of renewables can lead to power grid instability problems, creating disruptions for the country's civil and manufacturing sectors. We will explore a Reinforcement Learning solution designed to optimize energy flows in RECs, maximizing environmental, social, and economic benefits for both communities and the entire country.