FRESCO: Federated Reinforcement Energy System for Cooperative Optimization

arXiv:2403.18444v1 Announce Type: new
Abstract: The rise in renewable energy is creating new dynamics in the energy grid that promise to create a cleaner and more participative energy grid, where technology plays a crucial part in making the required flexibility to achieve the vision of the next-generation grid. This work presents FRESCO, a framework that aims to ease the implementation of energy markets using a hierarchical control architecture of reinforcement learning agents trained using federated learning. The core concept we …

abstract arxiv cs.lg dynamics energy flexibility grid making next optimization part reinforcement renewable technology type vision work