energy-py
Reinforcement learning for energy systems.
https://github.com/ADGEfficiency/energy-py
Category: Energy Systems
Sub Category: Energy System Modeling Frameworks
Keywords
energy reinforcement-learning
Last synced: about 9 hours ago
JSON representation
Repository metadata
Reinforcement learning for energy systems
- Host: GitHub
- URL: https://github.com/ADGEfficiency/energy-py
- Owner: ADGEfficiency
- License: mit
- Created: 2017-04-03T10:14:01.000Z (almost 9 years ago)
- Default Branch: main
- Last Pushed: 2025-05-19T14:11:26.000Z (8 months ago)
- Last Synced: 2025-12-20T19:28:19.013Z (19 days ago)
- Topics: energy, reinforcement-learning
- Language: Python
- Homepage:
- Size: 269 KB
- Stars: 184
- Watchers: 8
- Forks: 35
- Open Issues: 1
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
README.md
energypy
A framework for running reinforcement learning experiments on energy environments - starting with electric battery storage.
Features
- Electric battery storage environment for energy arbitrage
- Integration with Gymnasium as a custom Gymnasium environment
- Integration with Stable Baselines 3 for reinforcement learning agents
- Historical electricity price data for realistic training scenarios
- Experiment framework for training and evaluation on separate datasets
- Tensorboard logging for experiment tracking
Setup
$ make setup
Examples
$ uv run examples/battery.py
Or run a more extensive experiment with real electricity price data:
$ uv run examples/battery_arbitrage_experiments.py
Test
$ make test
Owner metadata
- Name: Adam Green
- Login: ADGEfficiency
- Email:
- Kind: user
- Description:
- Website: adgefficiency.com
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/24447881?u=e53b8b16b3d12af8f359c7fc4707da0c027e0fe3&v=4
- Repositories: 78
- Last ynced at: 2024-06-11T15:43:25.030Z
- Profile URL: https://github.com/ADGEfficiency
GitHub Events
Total
- Issues event: 13
- Watch event: 8
- Delete event: 5
- Issue comment event: 12
- Push event: 85
- Pull request event: 11
- Fork event: 1
- Create event: 4
Last Year
- Issues event: 13
- Watch event: 7
- Delete event: 5
- Issue comment event: 12
- Push event: 85
- Pull request event: 11
- Fork event: 1
- Create event: 4
Committers metadata
Last synced: 1 day ago
Total Commits: 18
Total Committers: 2
Avg Commits per committer: 9.0
Development Distribution Score (DDS): 0.167
Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Adam Green | a****n@a****m | 15 |
| Adam Green | u****u@i****l | 3 |
Committer domains:
Issue and Pull Request metadata
Last synced: 4 months ago
Total issues: 46
Total pull requests: 29
Average time to close issues: about 1 year
Average time to close pull requests: 3 months
Total issue authors: 10
Total pull request authors: 7
Average comments per issue: 1.33
Average comments per pull request: 0.52
Merged pull request: 13
Bot issues: 0
Bot pull requests: 12
Past year issues: 5
Past year pull requests: 5
Past year average time to close issues: 18 days
Past year average time to close pull requests: 2 days
Past year issue authors: 2
Past year pull request authors: 1
Past year average comments per issue: 1.2
Past year average comments per pull request: 0.0
Past year merged pull request: 4
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- ADGEfficiency (37)
- fokx (1)
- KeirSimmons (1)
- Sudococommunity (1)
- LucaNicoliYT88 (1)
- bollegijscoding (1)
- satishravindran (1)
- ghost (1)
- adityauser (1)
- IanQS (1)
Top Pull Request Authors
- dependabot[bot] (13)
- ADGEfficiency (12)
- tomharvey (3)
- hassaku (3)
- KeirSimmons (2)
- nhoening (1)
- ghost (1)
Top Issue Labels
Top Pull Request Labels
- dependencies (13)
Dependencies
- click *
- gym ==0.18.0
- imageio *
- pandas ==1.2.3
- pytest *
- tdqm *
- tensorflow ==2.5.0
- tensorflow-estimator ==2.5.0
- tensorflow-probability ==0.13.0
- Click *
- actions/checkout v2 composite
- actions/setup-python v2 composite
Score: 5.91350300563827