Calculates consumption features from daily smart meter data
calc_featuresda_consumption(
B,
rowname = NULL,
featsCoarserGranularity = FALSE,
replace_NA_with_defaults = TRUE
)
a data.frame with the calculated features as columns and a specified rowname, if given
a vector with length 7 measurements
the row name of the resulting feature vector
are the features of finer granularity levels also to be calculated (TRUE/FALSE)
replaces missing (NA) or infinite values that may appear during calculation with default 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")