Science Score: 44.0%

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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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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.7%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

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
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

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

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

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