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"
)a data frame with feature values as columns, named by 'rowname'
electricity consumption
gas consumption
water consumption
the name of the consumer (e.g., a household ID in a study database)
an optional character string for the cor function, specifying a method for computing covariances in the presence of missing values.
Konstantin Hopf konstantin.hopf@uni-bamberg.de
Hopf, K. (2019). Predictive Analytics for Energy Efficiency and Energy Retailing (1st ed.). Bamberg: University of Bamberg. tools:::Rd_expr_doi("10.20378/irbo-54833")