Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓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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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: PrincetonUniversity
- Language: Python
- Default Branch: main
- Size: 48.8 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
PGrisk
PGrisk is a Python package for attributing the operational costs in power grid systems from economic dispatch to load demands and renewable generation units. It adapts the technique of Integrated Gradient in neural networks and quantifies the contribution of each input in the economic dispatch to the overall costs. The underlying production cost modeling tools for running unit commitment and economic dispatch simulations are implemented in Vatic.
Getting started
Requirements
- Python 3.8 to 3.10
- Gurobi mixed-integer linear programming solver
Installation
First, obtain Vatic v0.4.1-a1 by cloning the repository from command line:
git clone https://github.com/PrincetonUniversity/Vatic.git -b v0.4.1-a1 --single-branch
Next, download the testing grid RTS-GMLC and install Vatic by:
cd Vatic
git submodule init
git submodule update
pip install .
Finally, clone the repository and install PGrisk by running:
git clone https://github.com/PrincetonUniversity/PGrisk.git
cd PGrisk
pip install .
Testing
PGrisk is packaged with an example in test/RTS-GMLC_cost_attribution.ipynb based on the RTS-GMLC grid to demonstrate its basic functionality.
Owner
- Name: PrincetonUniversity
- Login: PrincetonUniversity
- Kind: organization
- Repositories: 215
- Profile: https://github.com/PrincetonUniversity
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Yang
given-names: Xinshuo
title: "PGrisk"
version: 0.1
date-released: 2023-10-16
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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