TY - DATA
T1 - Source code and data for the experiments presented in Deep Reinforcement Learning for Active Wake Control
PY - 2022/02/04
AU - Greg Neustroev
AU - Mathijs de Weerdt
AU - Remco Verzijbergh
AU - Sytze Andringa
UR - https://data.4tu.nl/articles/software/Source_code_and_data_for_the_experiments_presented_in_Deep_Reinforcement_Learning_for_Active_Wake_Control/19107257/1
DO - 10.4121/19107257.v1
KW - reinforcement learning
KW - active wake control
KW - deep learning
N2 - 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 README.md.<br>
ER -