Source code and data for the experiments presented in Deep Reinforcement Learning for Active Wake Control



This is a simulation study to illustrate benefits of reinforcement learning (RL) for active wake control in wind farms. The repository includes a simulator (./code/wind_farm_gym), implementation of RL agents (./code/agent), and configurations for the experiments presented in the paper (./code/configs), as well as the simulation results (./data). For more detailed instructions, see
Date made available4 Feb 2022
PublisherTU Delft - 4TU.ResearchData
Date of data production2022 -

Cite this