calc_featuresda_consumption: Calculates consumption features from daily smart meter data

In SmartMeterAnalytics: Methods for Smart Meter Data Analysis

Description

Calculates consumption features from daily smart meter data

Usage

calc_featuresda_consumption(
  B,
  rowname = NULL,
  featsCoarserGranularity = FALSE,
  replace_NA_with_defaults = TRUE
)

Arguments

B	a vector with length 7 measurements
rowname	the row name of the resulting feature vector
featsCoarserGranularity	are the features of finer granularity levels also to be calculated (TRUE/FALSE)
replace_NA_with_defaults	replaces missing (NA) or infinite values that may appear during calculation with default values

Value

a data.frame with the calculated features as columns and a specified rowname, if given

Author(s)

Konstantin Hopf [e-mail]

References

Hopf, K. (2019). Predictive Analytics for Energy Efficiency and Energy Retailing (1st ed.). Bamberg: University of Bamberg. https://doi.org/10.20378/irbo-54833

SmartMeterAnalytics documentation built on Aug. 18, 2020, 5:07 p.m.