Science Score: 23.0%
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
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: scholar.google -
○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 (9.9%) to scientific vocabulary
Repository
Public repository for 3D-MILP paper.
Basic Info
- Host: GitHub
- Owner: ElektrikAkar
- License: other
- Language: MATLAB
- Default Branch: main
- Size: 2.08 MB
Statistics
- Stars: 8
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models
The tool was created by Volkan Kumtepeli at the Energy Research Institute at Nanyang Technological University in collaboration with Institute for Electrical Energy Storage Technology at the Technical University of Munich.
How to cite:
V. Kumtepeli, HC. Hesse, M. Schimpe, A. Tripathi, Y. Wang, and A. Jossen, Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models. IEEE Access, vol. 8, pp. 204325-204341, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.3035504
``` @article{kumtepeli2020energy, title={Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models}, author={Kumtepeli, Volkan and Hesse, Holger C and Schimpe, Michael and Tripathi, Anshuman and Youyi, Wang and Jossen, Andreas}, journal={IEEE Access}, volume={8}, pages={204325--204341}, year={2020}, publisher={IEEE} doi={10.1109/ACCESS.2020.3035504}, ISSN={2169-3536}, }
```
Dependencies / Requirements:
- Gurobi 9.03
- YALMIP R20200116
- MATLAB >=2017a for string operations and >=2019a for readmatrix function.
- Robust Statistical Toolbox (not used but may be necessary for some functions in RainCloudPlots library)
- Partially provided external libraries:
How to use:
Run Optimizationsingle.m or Optimizationbatch.m file. Default settings are given in simulationSettings which can be called with additional settings.
Owner
- Name: Volkan Kumtepeli
- Login: ElektrikAkar
- Kind: user
- Location: United Kingdom
- Twitter: VolkanKumtepeli
- Repositories: 25
- Profile: https://github.com/ElektrikAkar
Yet another person.
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Volkan Kumtepeli | v****i@g****m | 9 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- 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
Pull Request Authors
- ElektrikAkar (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- matplotlib *
- numpy *
- ptitprince ==0.1.3
- scipy *
- seaborn >=0.9