RAMP: stochastic simulation of user-driven energy demand time series

Python Submitted 07 December 2023 • Published 12 June 2024
Software repository Paper review Download paper Software archive
Review

Editor: @AdamRJensen (all papers)
Reviewers: @FabianHofmann (all reviews), @trevorb1 (all reviews)

Authors

Francesco Lombardi (0000-0002-7624-5886), Pierre-François Duc (0000-0001-8698-8854), Mohammad Amin Tahavori (0000-0002-7753-0523), Claudia Sanchez-Solis (0000-0003-2385-7392), Sarah Eckhoff (0000-0002-6168-4835), Maria C.g. Hart (0000-0002-1031-9782), Francesco Sanvito (0000-0002-9152-9684), Gregory Ireland, Sergio Balderrama, Johann Kraft, Gokarna Dhungel, Sylvain Quoilin

Citation

Lombardi et al., (2024). RAMP: stochastic simulation of user-driven energy demand time series. Journal of Open Source Software, 9(98), 6418, https://doi.org/10.21105/joss.06418

@article{Lombardi2024, doi = {10.21105/joss.06418}, url = {https://doi.org/10.21105/joss.06418}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {98}, pages = {6418}, author = {Francesco Lombardi and Pierre-François Duc and Mohammad Amin Tahavori and Claudia Sanchez-Solis and Sarah Eckhoff and Maria C.g. Hart and Francesco Sanvito and Gregory Ireland and Sergio Balderrama and Johann Kraft and Gokarna Dhungel and Sylvain Quoilin}, title = {RAMP: stochastic simulation of user-driven energy demand time series}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

energy demand stochastic time series synthetic data

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 Initiative.

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