AutoB2G: A Large Language Model-Driven Agentic Framework For Automated Building-Grid Co-Simulation

arXiv:2603.26005v1 Announce Type: new Abstract: The growing availability of building operational data motivates the use of reinforcement learning RL, which can learn control policies directly from data and cope with the complexity and uncertainty of largescale building clusters.