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

Python Jupyter Notebook Submitted 19 May 2023Published 16 November 2023
Review

Editor: @rkurchin (all papers)
Reviewers: @FlorianK13 (all reviews), @AdamRJensen (all reviews)

Authors

Kirk L. Bonney (0009-0006-2383-1634), Thushara Gunda (0000-0003-1945-4064), Michael W. Hopwood (0000-0001-6190-1767), Hector Mendoza (0009-0007-5812-606X), Nicole D. Jackson (0000-0002-3814-9906)

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

@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} }
Copy citation string · Copy BibTeX  
Tags

photovoltaic time series machine learning natural language processing

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066