airboxlab/rllib-energyplus

Official reinforcement learning environment for demand response and load shaping

Reinforcement learning environment for wind farm control. Mirror of https://gitlab.windenergy.dtu.dk/sys/windgym

Reinforcement learning environments for process control applications.

A toolkit for developing and comparing reinforcement learning algorithms.

Grid2Op a testbed platform to model sequential decision making in power systems.

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Puffing up reinforcement learning

RL2Grid is a standardized benchmark for reinforcement learning (RL) agents in realistic power grid environments. Built on top of Grid2Op, it models real-time operations such as topology optimization and redispatching, with full AC power flow simulation, stochastic events, expert-informed heuristics, and safety-critical constraints.