tell: a Python package to model future total electricity loads in the United States

Jupyter Notebook Python PowerShell Batchfile Submitted 03 June 2022 • Published 11 November 2022
Software repository Paper review Download paper Software archive
Review

Editor: @fraukewiese (all papers)
Reviewers: @euronion (all reviews), @chrklemm (all reviews)

Authors

Casey R. McGrath (0000-0002-8808-8312), Casey D. Burleyson (0000-0001-6218-9361), Zarrar Khan (0000-0002-8147-8553), Aowabin Rahman (0000-0003-2543-5126), Travis Thurber (0000-0002-4370-9971), Chris R. Vernon (0000-0002-3406-6214), Nathalie Voisin (0000-0002-6848-449X), Jennie S. Rice (0000-0002-7833-9456)

Citation

McGrath et al., (2022). tell: a Python package to model future total electricity loads in the United States. Journal of Open Source Software, 7(79), 4472, https://doi.org/10.21105/joss.04472

@article{McGrath2022, doi = {10.21105/joss.04472}, url = {https://doi.org/10.21105/joss.04472}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {79}, pages = {4472}, author = {Casey R. McGrath and Casey D. Burleyson and Zarrar Khan and Aowabin Rahman and Travis Thurber and Chris R. Vernon and Nathalie Voisin and Jennie S. Rice}, title = {tell: a Python package to model future total electricity loads in the United States}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Electricity loads MultiSector Dynamics

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

Journal of Open Source Software is an affiliate of the Open Source Inititative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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