pvOps

Contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites.
https://github.com/sandialabs/pvOps

Category: Renewable Energy
Sub Category: Photovoltaics and Solar Energy

Keywords

scr-2609 snl-data-analysis snl-visualization

Keywords from Contributors

photovoltaic renewable-energy renewables solar-energy sphinx

Last synced: about 14 hours ago
JSON representation

Repository metadata

A set of documented functions for supporting operations research of photovoltaic energy systems.

• Host: GitHub
• URL: https://github.com/sandialabs/pvOps
• Owner: sandialabs
• License: other
• Created: 2020-08-20T14:48:48.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2025-03-17T15:49:48.000Z (about 1 month ago)
• Last Synced: 2025-04-06T02:34:01.377Z (22 days ago)
• Topics: scr-2609, snl-data-analysis, snl-visualization
• Language: Jupyter Notebook
• Homepage: https://pvops.readthedocs.io/en/latest/
• Size: 37.7 MB
• Stars: 18
• Watchers: 4
• Forks: 12
• Open Issues: 5
• Releases: 19
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

README.md

├───docs                : Documentation directory
|
├───tutorials           : Contains tutorials of functionality
│   └─── example_data   : └─── Example data
|
└───pvops               : Source function library
    ├───tests           : ├─── Library stability tests
    ├───text            : ├─── Text processing functions
    ├───text2time       : ├─── Text2Timeseries functions
    ├───timeseries      : ├─── Timeseries functions
    └───iv              : └─── Current-voltage functions

Bonney et al., (2023). pvOps: a Python package for empirical analysis of photovoltaic field data. 
Journal of Open Source Software, 8(91), 5755, https://doi.org/10.21105/joss.05755

@article{Bonney2023, 
  doi = {10.21105/joss.05755}, 
  url = {https://doi.org/10.21105/joss.05755}, 
  year = {2023}, 
  publisher = {The Open Journal}, 
  volume = {8}, 
  number = {91}, 
  pages = {5755}, 
  author = {Kirk L. Bonney and Thushara Gunda and Michael W. Hopwood and Hector Mendoza and Nicole D. Jackson}, 
  title = {pvOps: a Python package for empirical analysis of photovoltaic field data}, 
  journal = {Journal of Open Source Software} }

Citation (https://github.com/sandialabs/pvOps/blob/master/)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Hopwood
    given-names: Michael
    orcid: https://orcid.org/0000-0001-6190-1767
   - family-names: Gunda
    given-names: Thushara
    orcid: https://orcid.org/0000-0003-1945-4064
   - family-names: Mendoza
    given-names: Hector
    orcid: https://orcid.org/1234
title: "pvOps: Improving Operational Assessments through Data Fusion"
version: 0.2.0
doi: 10.5281/zenodo.4776181
date-released: 2021-05-26
keywords:
  - reliability assessment
  - operations research
  - data fusion
  - machine learning
  - natural language processing
license: "BSD-3C"

Owner metadata

• Name: Sandia National Laboratories
• Login: sandialabs
• Email:
• Kind: organization
• Description: Exceptional service in the national interest.
• Website: https://software.sandia.gov
• Location: United States
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/4993680?v=4
• Repositories: 123
• Last ynced at: 2023-03-13T13:51:28.478Z
• Profile URL: https://github.com/sandialabs

GitHub Events

Total

• Create event: 6
• Release event: 6
• Issues event: 9
• Watch event: 1
• Issue comment event: 5
• Push event: 9
• Pull request review event: 4
• Gollum event: 1
• Pull request event: 14
• Fork event: 1

Last Year

• Create event: 6
• Release event: 6
• Issues event: 9
• Watch event: 1
• Issue comment event: 5
• Push event: 9
• Pull request review event: 4
• Gollum event: 1
• Pull request event: 14
• Fork event: 1

Committers metadata

Last synced: 6 days ago

Committer domains:

• sandia.gov: 4
• nrel.gov: 1
• knights.ucf.edu: 1

Issue and Pull Request metadata

Last synced: 1 day ago

Package metadata

• Total packages: 1
• Total downloads:
  • pypi: 880 last-month
• Total dependent packages: 0
• Total dependent repositories: 1
• Total versions: 18
• Total maintainers: 1

Dependencies

Score: 12.31558154473431