Man pages for mcanigueral/evsim
Electric Vehicle Charging Sessions Simulation
| adapt_charging_features | Adapt charging features |
| add_charging_infrastructure | Assign a charging station to EV charging sessions |
| california_ev_model | EV model example |
| california_ev_sessions | EV charging sessions example |
| california_ev_sessions_profiles | Clustered EV charging sessions example |
| convert_time_num_to_period | Convert numeric time value to a datetime period (hour-based) |
| estimate_connection | Estimate sessions connection values |
| estimate_energy | Estimate sessions energy values following a Gaussian... |
| estimate_sessions | Estimate sessions parameters of a specific profile |
| expand_session | Expand a session along time slots within its connection time |
| expand_sessions | Expand sessions along time slots |
| get_charging_rates_distribution | Charging rates distribution |
| get_connection_models_from_parameters | Connection GMM |
| get_custom_ev_model | Create the custom EV model |
| get_day_sessions | Get day sessions |
| get_demand | Time-series EV demand |
| get_energy_models_from_parameters | Energy GMM |
| get_estimated_connections | Get estimated profiles |
| get_estimated_energy | Estimate energy given energy models tibble |
| get_evmodel_parameters | Get 'evmodel' parameters in a list |
| get_evmodel_summary | Get 'evmodel' parameters in a list of summary tables |
| get_occupancy | Time-series EV occupancy |
| get_user_profiles_distribution | User profiles distribution |
| is_aligned | Is the sessions data set aligned in time? |
| mclapply.windows | Parallel processing for windows |
| plot_occupancy_duration_curve | Plot the occupancy duration curve |
| plot_ts | Interactive plot for time-series tibbles |
| prepare_model | Prepare the models from the 'evmodel' object ready for the... |
| print.evmodel | 'print' method for 'evmodel' object class |
| read_ev_model | Read EV model |
| round_to_interval | Round a numeric value to interval |
| save_ev_model | Save the EV model |
| sessions_feature_names | Names of standard features of a sessions dataset |
| simulate_sessions | Simulation of EV sessions |
