ERAD
Graph based Python library for computing resilience metrics for power distribution systems.
https://github.com/NREL-Distribution-Suites/erad
Category: Energy Systems
Sub Category: Grid Analysis and Planning
Last synced: about 4 hours ago
JSON representation
Repository metadata
Graph based python library for computing resilience metrics for power distribution systems.
- Host: GitHub
- URL: https://github.com/NREL-Distribution-Suites/erad
- Owner: NREL-Distribution-Suites
- License: bsd-3-clause
- Created: 2022-10-20T18:16:38.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2026-01-29T17:26:54.000Z (11 days ago)
- Last Synced: 2026-02-06T09:10:35.837Z (3 days ago)
- Language: Python
- Homepage: https://nrel-distribution-suites.github.io/erad/
- Size: 13.8 MB
- Stars: 20
- Watchers: 6
- Forks: 12
- Open Issues: 3
- Releases: 11
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt
README.md
ERAD (Energy Resilience Analysis for electric Distribution systems)
Visit full documentation here.
Understanding the impact of disaster events on people's ability to access critical services is key to designing appropriate programs to minimize the overall impact. Flooded roads, downed power lines, flooded power substation etc. could impact access to critical services like electricity, food, health and more. The field of disaster modeling is still evolving and so is our understanding of how these events would impact our critical infrastructures such power grid, hospitals, groceries, banks etc.
ERAD is a free, open-source Python toolkit for computing energy resilience measures in the face of hazards like earthquakes and flooding. It uses graph database to store data and perform computation at the household level for a variety of critical services that are connected by power distribution network. It uses asset fragility curves, which are functions that relate hazard severity to survival probability for power system assets including cables, transformers, substations, roof-mounted solar panels, etc. recommended in top literature. Programs like undergrounding, microgrid, and electricity backup units for critical infrastructures may all be evaluated using metrics and compared across different neighborhoods to assess their effects on energy resilience.
ERAD is designed to be used by researchers, students, community stakeholders, distribution utilities to understand and possibly evaluate effectiveness of different post disaster programs to improve energy resilience. It was funded by National Renewable Energy Laboratory (NREL) and made publicly available with open license.
Owner metadata
- Name: NREL-Distribution-Suites
- Login: NREL-Distribution-Suites
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/165042207?v=4
- Repositories: 3
- Last ynced at: 2024-05-29T13:59:58.010Z
- Profile URL: https://github.com/NREL-Distribution-Suites
GitHub Events
Total
- Release event: 6
- Delete event: 11
- Member event: 3
- Pull request event: 37
- Fork event: 2
- Watch event: 3
- Issue comment event: 11
- Push event: 77
- Pull request review comment event: 3
- Pull request review event: 3
- Create event: 19
Last Year
- Release event: 6
- Delete event: 11
- Member event: 3
- Pull request event: 37
- Fork event: 2
- Watch event: 3
- Issue comment event: 11
- Push event: 77
- Pull request review comment event: 3
- Pull request review event: 3
- Create event: 19
Committers metadata
Last synced: 23 days ago
Total Commits: 115
Total Committers: 6
Avg Commits per committer: 19.167
Development Distribution Score (DDS): 0.313
Commits in past year: 80
Committers in past year: 2
Avg Commits per committer in past year: 40.0
Development Distribution Score (DDS) in past year: 0.037
| Name | Commits | |
|---|---|---|
| Aadil Latif | a****f@g****m | 79 |
| Duwadi | k****i@n****v | 17 |
| Duwadi, Kapil | K****i@n****v | 11 |
| Dugan, Jesse | j****n@n****v | 3 |
| Bryan Palmintier (NREL) | b****r@n****v | 3 |
| Latif | a****f@n****v | 2 |
Committer domains:
- nrel.gov: 5
Issue and Pull Request metadata
Last synced: 11 days ago
Total issues: 0
Total pull requests: 19
Average time to close issues: N/A
Average time to close pull requests: about 8 hours
Total issue authors: 0
Total pull request authors: 2
Average comments per issue: 0
Average comments per pull request: 0.11
Merged pull request: 14
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 19
Past year average time to close issues: N/A
Past year average time to close pull requests: about 8 hours
Past year issue authors: 0
Past year pull request authors: 2
Past year average comments per issue: 0
Past year average comments per pull request: 0.11
Past year merged pull request: 14
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
- AadilLatif (17)
- jesse-dugan (2)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 69 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 10
- Total maintainers: 3
pypi.org: nrel-erad
Graph based scalable tool for computing energy resilience metrics for distribution systems.
- Homepage: https://github.com/NREL-Distribution-Suites/erad
- Documentation: https://nrel-erad.readthedocs.io/
- Licenses: BSD License
- Latest release: 1.0.0 (published over 1 year ago)
- Last Synced: 2025-12-27T02:11:40.478Z (about 1 month ago)
- Versions: 10
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 69 Last month
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Rankings:
- Dependent packages count: 7.49%
- Forks count: 30.209%
- Stargazers count: 32.235%
- Average: 37.346%
- Downloads: 46.986%
- Dependent repos count: 69.808%
- Maintainers (3)
Dependencies
- OpenDSSDirect.py *
- boto3 *
- botocore *
- ditto.py *
- geojson *
- geopandas *
- geopy *
- graphdatascience *
- jupyter *
- matplotlib *
- neo4j-driver *
- networkx *
- pandas *
- plotly *
- pytest *
- python-dotenv *
- pyyaml *
- scipy *
- shapely *
- stateplane *
- black * development
- mkdocs * development
- mkdocs-jupyter * development
- mkdocs-material * development
- mkdocstrings * development
- pylint * development
Score: 9.20391980417326