Science Score: 39.0%
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
Found 4 DOI reference(s) in README -
○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 (10.2%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
CURENT Large-Scale Testbed
Basic Info
- Host: GitHub
- Owner: CURENT
- License: gpl-3.0
- Language: Dockerfile
- Default Branch: master
- Homepage: https://ltb.curent.org
- Size: 1.45 MB
Statistics
- Stars: 6
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
LTB
CURENT Large-Scale Testbed (LTB) is a closed-loop platform for rapid prototyping and testing of power systems.
This repository serves as a central hub for the LTB platform. For individual packages, please explore the repositories within this organization.
👉 Visit the offical homepage for the latest updates.
Why LTB
The LTB platform offers several features for power systems testing and prototyping, including dynamics simulation, market simulation, geographical visualization, and their interoperation.
Citing LTB
If you use LTB packages for research or consulting, we kindly request you to cite the following publications:
F. Li, K. Tomsovic and H. Cui, "A Large-Scale Testbed as a Virtual Power Grid: For Closed-Loop Controls in Research and Testing," in IEEE Power and Energy Magazine, vol. 18, no. 2, pp. 60-68, March-April 2020, doi: 10.1109/MPE.2019.2959054.
H. Cui, F. Li and K. Tomsovic, "Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis," in IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1373-1384, March 2021, doi: 10.1109/TPWRS.2020.3017019.
J. Wang et al., "Dynamics-incorporated Modeling Framework for Stability Constrained Scheduling Under High-penetration of Renewable Energy," in IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2025.3528027.
N. Parsly, J. Wang, N. West, Q. Zhang, H. Cui and F. Li, "DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-Scale Power System Simulation," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-5, doi: 10.1109/NAPS58826.2023.10318583.
Sponsors
This work was supported in part by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program.
License
LTB is licensed under the GPL v3 License.
GitHub Events
Total
- Issues event: 1
- Watch event: 1
- Push event: 8
- Pull request event: 6
Last Year
- Issues event: 1
- Watch event: 1
- Push event: 8
- Pull request event: 6
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| jinningwang | j****m@g****m | 37 |
| jinningwang | “****g | 13 |
| Hantao Cui | c****o@g****m | 11 |
| Hantao Cui | h****7@H****t | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 5
- Total pull requests: 7
- Average time to close issues: 3 days
- Average time to close pull requests: 1 minute
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.2
- Average comments per pull request: 0.14
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- jinningwang (5)
Pull Request Authors
- jinningwang (9)