prepare_energy_data: Prepares data for energy forecasting
In vidarsumo/sumots: Helper functions for Sumo Analytics

Prepares data for energy forecasting

prepare_energy_data(
  data,
  outcome_var,
  horizon,
  xreg_tbl = NULL,
  slidify_period = NULL,
  transformation = "none",
  fourier_periods = NULL,
  drop_na = TRUE,
  use_holidays = FALSE,
  holidays_tbl,
  pacf_threshold = 0.2,
  no_fourier_terms = 10,
  fourier_k = 3,
  lags_to_use = NULL,
  use_own_fourier = FALSE,
  own_fourier = NULL
)

`data`	Data frame to be used. Should contain id column, added if not present
`outcome_var`	Name of the outcome variable. It's renamed as outcome
`horizon`	The forecast horizon denoted as interger value
`xreg_tbl`	Data frame with external regressors
`slidify_period`	Sliding periods used in tk_augment_slidify. If not given c(1/4, 1/3, 1/2, 1) * horizon is used
`transformation`	Transformation to be applied. Defaults to none. Possible values: log, log1p
`pacf_threshold`	Threshold to determine which pacf lags to when creating fourier_period. Defaults to 0.2
`no_fourier_terms`	Number of fourier periods to include. Defaults to 10
`fourier_k`	Maximum order(s) of fourier terms
`lags_to_use`	Should lag of outcome variable be used. Defaults to NULL, replace with desired lag