Create the custom EV model — get_custom_ev

Get the EV model object of class evmodel

Usage

get_custom_ev_model(
  names,
  months_lst = list(1:12, 1:12),
  wdays_lst = list(1:5, 6:7),
  parameters_lst,
  connection_log,
  energy_log,
  data_tz
)

Arguments

names: character vector with the given names of each time-cycle model
months_lst: list of integer vectors with the corresponding months of the year for each time-cycle model
wdays_lst: list of integer vectors with the corresponding days of the week for each time-cycle model (week start = 1)
parameters_lst: list of tibbles corresponding to the GMM parameters of every time-cycle model
connection_log: logical, true if connection models have logarithmic transformations
energy_log: logical, true if energy models have logarithmic transformations
data_tz: character, time zone of the original data (necessary to properly simulate new sessions)

Value

object of class evmodel

Examples


# For workdays time cycle
workdays_parameters <- dplyr::tibble(
  profile = c("Worktime", "Visit"),
  ratio = c(80, 20),
  start_mean = c(9, 11),
  start_sd = c(1, 4),
  duration_mean = c(8, 4),
  duration_sd = c(0.5, 2),
  energy_mean = c(15, 6),
  energy_sd = c(4, 3)
)

# For weekends time cycle
weekends_parameters <- dplyr::tibble(
  profile = "Visit",
  ratio = 100,
  start_mean = 12,
  start_sd = 4,
  duration_mean = 3,
  duration_sd = 2,
  energy_mean = 4,
  energy_sd = 4
)

parameters_lst <- list(workdays_parameters, weekends_parameters)

# Get the whole model
ev_model <- get_custom_ev_model(
  names = c("Workdays", "Weekends"),
  months_lst = list(1:12, 1:12),
  wdays_lst = list(1:5, 6:7),
  parameters_lst = parameters_lst,
  connection_log = FALSE,
  energy_log = FALSE,
  data_tz = "Europe/Amsterdam"
)