evprof: Electric Vehicle Charging Sessions Profiling and Modelling

Tools for modelling electric vehicle charging sessions into generic groups with similar connection patterns called "user profiles", using Gaussian Mixture Models clustering. The clustering and profiling methodology is described in Cañigueral and Meléndez (2021, ISBN:0142-0615) <doi:10.1016/j.ijepes.2021.107195>.

Version: 1.1.2
Depends: R (≥ 3.5.0)
Imports: cowplot, dbscan, dplyr, ggplot2, jsonlite, lubridate, MASS, mclust, plotly, purrr, rlang, tibble, tidyr
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0), utils
Published: 2024-03-14
DOI: 10.32614/CRAN.package.evprof
Author: Marc Cañigueral ORCID iD [aut, cre, cph]
Maintainer: Marc Cañigueral <marc.canigueral at udg.edu>
BugReports: https://github.com/mcanigueral/evprof/issues
License: GPL-3
URL: https://github.com/mcanigueral/evprof/, https://mcanigueral.github.io/evprof/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: evprof results


Reference manual: evprof.pdf
Vignettes: EV model object
Standard data format


Package source: evprof_1.1.2.tar.gz
Windows binaries: r-devel: evprof_1.1.2.zip, r-release: evprof_1.1.2.zip, r-oldrel: evprof_1.1.2.zip
macOS binaries: r-release (arm64): evprof_1.1.2.tgz, r-oldrel (arm64): evprof_1.1.2.tgz, r-release (x86_64): evprof_1.1.2.tgz, r-oldrel (x86_64): evprof_1.1.2.tgz
Old sources: evprof archive


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