Read and normalize the iFlex hourly dataset — elcf4r_read

Read the iFlex hourly consumption table and return a normalized long-format panel ready for feature engineering, segmentation and benchmarking.

Usage

elcf4r_read_iflex(
  path = file.path("data-raw", "iFlex"),
  ids = NULL,
  start = NULL,
  end = NULL,
  tz = "UTC",
  n_max = NULL
)

Arguments

path: Path to data_hourly.csv or to the directory that contains it.
ids: Optional vector of participant identifiers to keep.
start: Optional inclusive lower time bound.
end: Optional inclusive upper time bound.
tz: Time zone used to parse timestamps. Defaults to "UTC" because the iFlex timestamps are stored with a trailing Z.
n_max: Optional maximum number of rows to read. Intended for quick prototyping on a small subset of the raw file.

Value

A normalized data frame with load, temperature and calendar fields. The output also keeps participation_phase, price_signal, price_nok_kwh, temp24, temp48 and temp72.