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https://github.com/sandialabs/pvOps
A set of documented functions for supporting operations research of photovoltaic energy systems.
https://github.com/sandialabs/pvOps
scr-2609 snl-data-analysis
Last synced: 3 months ago
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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 (about 4 years ago)
- Default Branch: master
- Last Pushed: 2024-01-29T20:50:13.000Z (9 months ago)
- Last Synced: 2024-08-01T22:45:58.391Z (3 months ago)
- Topics: scr-2609, snl-data-analysis
- Language: Jupyter Notebook
- Homepage: https://pvops.readthedocs.io/en/latest/
- Size: 35.3 MB
- Stars: 18
- Watchers: 4
- Forks: 11
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- open-sustainable-technology - pvOps - Contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites. (Renewable Energy / Photovoltaics and Solar Energy)
README
[](https://badge.fury.io/gh/sandialabs%2FpvOps)
[](https://github.com/sandialabs/pvOps/blob/master/LICENSE)
[](https://github.com/sandialabs/pvOps/actions)
[](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c)
pvops contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites. The package also contains example datasets and tutorials to help demonstrate how the functions can be used.
Installation
=============
pvops can be installed using `pip`. See more information at [readthedocs](https://pvops.readthedocs.io/en/latest/).
Tutorials
=========
To get started with pvops we recommended working with the [tutorials](https://pvops.readthedocs.io/en/latest/pages/tutorials.html)
Package Layout and Documentation
==============
The package is delineated into the following directories.
```
├───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
```
More information about these modules is available at [readthedocs](https://pvops.readthedocs.io/en/latest/).
Citing
======
If using this package, please cite our [JOSS paper](https://joss.theoj.org/papers/10.21105/joss.05755#) using the following:
**Citation:**
```
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
```
**BibTex:**
```
@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} }
```
Contributing
============
The long-term success of pvops requires community support. Please see the [Contributing page](https://pvops.readthedocs.io/en/latest/) for more on how you can contribute.
[](https://badges.pufler.dev)
Logo Credit: [Daniel Rubinstein](http://www.danielrubinstein.com/)
Copyright and License
=======
pvops is copyright through National Technology & Engineering Solutions of Sandia (NTESS). The software is distributed under the Revised BSD License. See the LICENSE file for more information.