CityLearn V-2

CityLearn V2 is a dataset/benchmark that contains operational data for building clusters and is used to evaluate reinforcement learning algorithms in the context of building-to-grid interactions.

Papers using CityLearn V-2 (2)

OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings2026Autob2g: A Large Language Model-driven Agentic Framework For Automated Building-grid Co-simulation2026