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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "evprof" in publications use:'
type: software
license: GPL-3.0-only
title: 'evprof: Electric Vehicle Charging Sessions Profiling and Modelling'
version: 1.2.0
doi: 10.32614/CRAN.package.evprof
identifiers:
- type: url
  value: https://resourcefully-dev.github.io/evprof/
abstract: 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) <https://doi.org/10.1016/j.ijepes.2021.107195>.
authors:
- family-names: Cañigueral
  given-names: Marc
  email: marccanyigueral@gmail.com
  orcid: https://orcid.org/0000-0001-9724-5829
repository: https://resourcefully-dev.r-universe.dev
repository-code: https://github.com/resourcefully-dev/evprof
commit: c8ed1e5fe8b540029b29db323ce782e5c1e9fe5a
url: https://github.com/resourcefully-dev/evprof/
date-released: '2025-12-22'
contact:
- family-names: Cañigueral
  given-names: Marc
  email: marccanyigueral@gmail.com
  orcid: https://orcid.org/0000-0001-9724-5829