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

View source: R/F_features_daily_multipleTS.R

calc_features_daily_multipleTS

R Documentation

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 konstantin.hopf@uni-bamberg.de

References

Hopf, K. (2019). Predictive Analytics for Energy Efficiency and Energy Retailing (1st ed.). Bamberg: University of Bamberg. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.20378/irbo-54833")}

SmartMeterAnalytics documentation built on June 8, 2025, 1:55 p.m.