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.
pvops can be installed using pip. See more information at readthedocs.
The package is delineated into the following directories. Refer to the examples directory for a full run-through of the available functionality.
├───docs : Documentation directory
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├───examples : Functionality examples directory
│ └─── example_data : └─── Example data
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└───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.
If using this package, please cite our paper using the following:
Citation:
H. Mendoza, M. Hopwood and T. Gunda, "pvOps: Improving Operational Assessments through Data Fusion," 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 2021, pp. 0112-0119, doi: 10.1109/PVSC43889.2021.9518439.
BibTex:
@INPROCEEDINGS{9518439,
author={Mendoza, Hector and Hopwood, Michael and Gunda, Thushara},
booktitle={2021 IEEE 48th Photovoltaic Specialists Conference (PVSC)},
title={pvOps: Improving Operational Assessments through Data Fusion},
year={2021},
volume={},
number={},
pages={0112-0119},
doi={10.1109/PVSC43889.2021.9518439}}
The long-term success of pvops requires community support. Please see the Contributing page for more on how you can contribute.
Logo Credit: Daniel Rubinstein
pvops is copyright through Sandia National Laboratories. The software is distributed under the Revised BSD License. See copyright and license for more information.