calc_features_daily_multipleTS {SmartMeterAnalytics}

Calculates feature from multiple time series data vectors

Description

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

Usage

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

Arguments

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.

Value

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

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