Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.0%) to scientific vocabulary
Keywords
energy
reinforcement-learning
Last synced: 11 months ago
·
JSON representation
Repository
Reinforcement learning for energy systems
Basic Info
Statistics
- Stars: 180
- Watchers: 8
- Forks: 34
- Open Issues: 1
- Releases: 0
Topics
energy
reinforcement-learning
Created over 9 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
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
shell-session
$ make setup
Examples
shell-session
$ uv run examples/battery.py
Or run a more extensive experiment with real electricity price data:
shell-session
$ uv run examples/battery_arbitrage_experiments.py
Test
shell-session
$ make test
Owner
- Name: Adam Green
- Login: ADGEfficiency
- Kind: user
- Website: adgefficiency.com
- Repositories: 78
- Profile: https://github.com/ADGEfficiency
GitHub Events
Total
- Issues event: 13
- Watch event: 6
- 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: 6
- Delete event: 5
- Issue comment event: 12
- Push event: 85
- Pull request event: 11
- Fork event: 1
- Create event: 4
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Adam Green | a****n@a****m | 15 |
| Adam Green | u****u@i****l | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- 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 requests: 13
- Bot issues: 0
- Bot pull requests: 12
Past Year
- Issues: 5
- Pull requests: 5
- Average time to close issues: 18 days
- Average time to close pull requests: 2 days
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 1.2
- Average comments per pull request: 0.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ADGEfficiency (37)
- fokx (1)
- KeirSimmons (1)
- Sudococommunity (1)
- LucaNicoliYT88 (1)
- bollegijscoding (1)
- satishravindran (1)
- ghost (1)
- adityauser (1)
- IanQS (1)
Pull Request Authors
- dependabot[bot] (13)
- ADGEfficiency (12)
- hassaku (3)
- tomharvey (3)
- KeirSimmons (2)
- nhoening (1)
- ghost (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (13)
Dependencies
requirements.txt
pypi
- 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
setup.py
pypi
- Click *
.github/workflows/test.yml
actions
- actions/checkout v2 composite
- actions/setup-python v2 composite