Electric Vehicle Charging Sessions Simulation

Documentation for package ‘evsim’ version 1.3.0

adapt_charging_features	Calculate connection and charging times according to energy, power and time resolution
add_charging_infrastructure	Assign charging station to charging sessions data set
expand_sessions	Expand sessions along time slots
get_charging_rates_distribution	Get charging rates distribution in percentages
get_connection_models_from_parameters	Get connection Gaussian Mixture Models from parameters
get_demand	Obtain time-series demand from sessions dataset
get_energy_models_from_parameters	Get energy Gaussian Mixture Models from parameters
get_evmodel_parameters	Get 'evmodel' parameters in a list format
get_evmodel_summary	Get 'evmodel' parameters in a list of summary tables
get_ev_model	Get the EV model object of class 'evmodel'
get_n_connections	Obtain time series of EV connected from sessions data set
get_user_profiles_distribution	Get the user profiles distribution from the original data set used to build the model
plot_ts	Plot a timeseries tibble in a Dygraphs HTML plot
read_ev_model	Read an EV model JSON file and convert it to object of class 'evmodel'
save_ev_model	Save the EV model object of class 'evmodel' to a JSON file
simulate_sessions	Simulate sessions given the 'evmodel' object and a datetime sequence