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DOE OSTI · 3023146

pvOps: a Python package for empirical analysis of photovoltaic field data

Bonney, Kirk Layne·Gunda, Thushara·Hopwood, Michael W.·Mendoza, Hector·Jackson, Nicole Danielle
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Abstract

The purpose of pvOps is to support empirical evaluations of data collected in the field related to the operations and maintenance (O&M) of photovoltaic (PV) power plants. pvOps presently contains modules that address the diversity of field data, including text-based maintenance logs, current-voltage (IV) curves, and timeseries of production information. The package functions leverage machine learning, visualization, and other techniques to enable cleaning, processing, and fusion of these datasets. These capabilities are intended to facilitate easier evaluation of field patterns and extraction of relevant insights to support reliability-related decision-making for PV sites. The open-source code, examples, and instructions for installing the package through PyPI can be accessed through the GitHub repository.

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14 SOLAR ENERGY97 MATHEMATICS AND COMPUTINGPythonmachine learningnatural language processingphotovoltaictime series

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Bonney, Kirk Layne, Gunda, Thushara, Hopwood, Michael W., Mendoza, Hector, Jackson, Nicole Danielle. 2023-11-16. pvOps: a Python package for empirical analysis of photovoltaic field data. https://doi.org/10.21105/joss.05755

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