choose_k_GMM            Visualize BIC indicator to choose the number of
                        clusters
cluster_sessions        Cluster sessions with 'mclust' package
cut_sessions            Cut outliers based on minimum and maximum
                        limits of ConnectionHours and
                        ConnectionStartDateTime variables
define_clusters         Define each cluster with a user profile
                        interpretation
detect_outliers         Detect outliers
divide_by_disconnection
                        Divide sessions by disconnection day
divide_by_timecycle     Divide sessions by time-cycle
drop_outliers           Drop outliers
get_charging_rates_distribution
                        Get charging rates distribution in percentages
get_connection_models   Get a tibble of connection GMM for every user
                        profile
get_daily_avg_n_sessions
                        Get the daily average number of sessions given
                        a range of years, months and weekdays
get_daily_n_sessions    Get daily number of sessions given a range of
                        years, months and weekdays
get_dbscan_params       Get the minPts and eps values for DBSCAN to
                        label only a specific percentage as noise
get_energy_models       Get a tibble of energy GMM for every user
                        profile
get_ev_model            Get the EV model object of class 'evmodel'
plot_bivarGMM           Plot Bivariate Gaussian Mixture Models
plot_connection_models
                        Plot all bi-variable GMM (clusters) with the
                        colors corresponding to the assigned user
                        profile. This shows which clusters correspond
                        to which user profile, and the proportion of
                        every user profile.
plot_density_2D         Density plot in 2D, considering Start time and
                        Connection duration as variables
plot_density_3D         Density plot in 3D, considering Start time and
                        Connection duration as variables
plot_division_lines     Iteration over evprof::plot_division_line
                        function to plot multiple lines
plot_energy_models      Compare density of estimated energy with
                        density of real energy vector
plot_histogram          Histogram of a variable from sessions data set
plot_histogram_grid     Grid of multiple variable histograms
plot_kNNdist            Plot kNNdist
plot_outliers           Plot outlying sessions
plot_points             Scatter plot of sessions
read_ev_model           Read an EV model JSON file and convert it to
                        object of class 'evmodel'
round_to_interval       Round to nearest interval
save_clustering_iterations
                        Save iteration plots in PDF file
save_ev_model           Save the EV model object of class 'evmodel' to
                        a JSON file
set_profiles            Classify sessions into user profiles
summarise_sessions      Statistic summary of sessions features
