Electric Vehicle Charging Sessions Profiling and Modelling

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Documentation for package ‘evprof’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

choose_k_GMM	Visualize BIC indicator to choose the number of clusters
cluster_sessions	Cluster sessions with 'mclust' package
convert_time_dt_to_num	Convert datetime value to numeric (hour-based)
convert_time_dt_to_plot_dt	Modify datetime values according evprof.start.hour
convert_time_dt_to_plot_num	Convert datetime values to sorted numeric values considering a start time
convert_time_num_to_chr	Convert numeric time value (hour-based) to character hour in %H:%M format
convert_time_num_to_period	Convert numeric time value to a datetime period (hour-based)
convert_time_num_to_plot_num	Modify numeric time value according to a time sequence start time
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'
mutate_to_log	Logarithmic transformation to ConnectionStartDateTime and ConnectionHours variables
plot_bivarGMM	Plot Bivariate Gaussian Mixture Models
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_model_clusters	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_outliers	Plot outlying sessions
plot_points	Scatter plot of sessions
print_connection_models_table	Get LaTeX code for the connection bivariate GMM features (mu and sigma)
print_user_profile_energy_models_table	Get LaTeX code for the energy GMM features OF A SINGLE USER PROFILE (mu and sigma)
read_ev_model	Read an EV model JSON file and convert it to object of class 'evmodel'
round_to_half	Round numeric time value to half hour basis.
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