WindGym: A Reinforcement Learning Environment for Wind Farm Control

WindGym: A Reinforcement Learning Environment for Wind Farm Control - Published in JOSS (2026)
https://github.com/dtuwindenergy/windgym

Keywords

control reinforcement-learning windfarm

Last synced: about 2 months ago
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Reinforcement learning environment for wind farm control. Mirror of https://gitlab.windenergy.dtu.dk/sys/windgym


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Last synced: 5 months ago

Total issues: 2
Total pull requests: 0
Average time to close issues: 28 days
Average time to close pull requests: N/A
Total issue authors: 2
Total pull request authors: 0
Average comments per issue: 12.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: 28 days
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 12.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/dtuwindenergy/windgym

Top Issue Authors

  • fanzz1 (1)
  • xiaolan0195 (1)

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Dependencies

pyproject.toml pypi
  • IPython *
  • dynamiks @ git+https://gitlab.windenergy.dtu.dk/DYNAMIKS/dynamiks.git@77f4f875c6401fde150e351a60143a5b522cf950
  • gymnasium *
  • hipersim >=0.1.7
  • pettingzoo *
  • stable_baselines3 *
  • wetb *

Score: -Infinity