normalise_dlc: Daily load curve normalisation

In biggproject/biggr: biggr

Daily load curve normalisation

Description

Normalise time serie applying pre processing transformations and considering multiple input variables. Ignoring specific dates if required and supporting multiple normalisation methods

Usage

normalise_dlc(
  data,
  localTimeZone,
  transformation = "relative",
  inputVars = c("loadCurves"),
  nDayParts = 24,
  holidays = c(),
  method = "range01",
  scalingAttr = NULL,
  balanceOutdoorTemperatures = NULL
)

Arguments

data	<timeserie>
localTimeZone	<string> specifying the local time zone related to the building in analysis. The format of this time zones are defined by the IANA Time Zone Database (https://www.iana.org/time-zones).
transformation	<string> absolute or relative
inputVars	<array> of strings. Possible values: loadCurves, daysWeekend, daysHolidays, daysWeek, dailyTemperature, dailyConsumption, dailyHdd, dailyCdd, ratioDailyConsumptionHdd, ratioDailyConsumptionCdd
nDayParts	<int> number of part days. Clustering considering parts of the day as "aggregation" of multiple hours. Default value 24 so each hour is considered a single part of the day
holidays	<array> of dates. Holidays dates that are ignored in clustering phase.
method	<string> Normalisation methods supported: - range01. Min-max normalisation method - znorm. Z-score normalisation method
scalingAttr	<data.frame> it includes the scaling attributes for each variable
balanceOutdoorTemperatures	<array> of floats with the balance temperatures used in the degree days calculation. Optional.

Value

normalised load <data.frame>

biggproject/biggr documentation built on Oct. 2, 2024, 11:13 p.m.