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evprof
View on CRAN: Click
here
Download and install evprof package within the R console
Install from CRAN:
install.packages("evprof")
Install from Github:
library("remotes")
install_github("cran/evprof") Install by package version:
library("remotes")
install_version("evprof", "1.2.0") Attach the package and use:
library("evprof")
Maintained by
Marc Cañigueral
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-19
Latest Update: 2024-03-14
Description:
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 Ca
How to cite:
Marc Cañigueral (2024). evprof: Electric Vehicle Charging Sessions Profiling and Modelling. R package version 1.2.0, https://cran.r-project.org/web/packages/evprof. Accessed 13 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for evprof
Functions, R codes and Examples using
the evprof R package
Some associated functions: california_GMM . california_ev_model . california_ev_sessions . california_ev_sessions_profiles . choose_k_GMM . cluster_sessions . convert_time_dt_to_plot_dt . convert_time_dt_to_plot_num . convert_time_num_to_chr . convert_time_num_to_period . cut_sessions . define_clusters . detect_outliers . divide_by_disconnection . divide_by_timecycle . drop_outliers . get_charging_rates_distribution . get_connection_model_mclust_object . get_connection_model_params . get_connection_models . get_daily_avg_n_sessions . get_daily_n_sessions . get_dbscan_params . get_division_line . get_energy_model_mclust_object . get_energy_model_parameters . get_energy_models . get_ev_model . mutate_to_log . plot_bivarGMM . plot_density_2D . plot_density_3D . plot_division_lines . plot_energy_models . plot_histogram . plot_histogram_grid . plot_kNNdist . plot_model_clusters . plot_outliers . plot_points . print.evmodel . read_ev_model . round_to_half . round_to_interval . save_clustering_iterations . save_ev_model . sessions_feature_names . sessions_summary_feature_names . set_profiles . summarise_sessions .
Some associated R codes: clustering.R . data.R . exploration.R . modelling.R . package_utils.R . preprocessing.R . profiling.R . Full evprof package functions and examples
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