calc_features_daily_multipleTS: Calculates feature from multiple time series data vectors
In SmartMeterAnalytics: Methods for Smart Meter Data Analysis

Description Usage Arguments Value Author(s) References

View source: R/F_features_daily_multipleTS.R

This function is intended to compute features for daily consumption data from electricity, gas, and water consumption time series data.

calc_features_daily_multipleTS(
  el = NULL,
  gas = NULL,
  wa = NULL,
  rowname = NULL,
  cor.useNA = "complete.obs"
)

`el`	electricity consumption
`gas`	gas consumption
`wa`	water consumption
`rowname`	the name of the consumer (e.g., a household ID in a study database)
`cor.useNA`	an optional character string for the cor function, specifying a method for computing covariances in the presence of missing values.

a data frame with feature values as columns, named by 'rowname'

Konstantin Hopf konstantin.hopf@uni-bamberg.de

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.