A new LLM‑driven framework automates building‑grid co‑simulation, enabling researchers to run complex energy‑management experiments without coding. By translating natural‑language tasks into reinforcement‑learning agents, the system unifies building‑side and grid‑side metrics, accelerating global studies of sustainable infrastructure.
The Signal
The approach, based on CityLearn V2, promises faster deployment of AI‑powered energy solutions for future resilience.