calc_featuresda_consumption {SmartMeterAnalytics} | R Documentation |
Calculates consumption features from daily smart meter data
Description
Calculates consumption features from daily smart meter data
Usage
calc_featuresda_consumption(
B,
rowname = NULL,
featsCoarserGranularity = FALSE,
replace_NA_with_defaults = TRUE
)
Arguments
B |
a vector with length 7 measurements |
rowname |
the row name of the resulting feature vector |
featsCoarserGranularity |
are the features of finer granularity levels also to be calculated (TRUE/FALSE) |
replace_NA_with_defaults |
replaces missing (NA) or infinite values that may appear during calculation with default values |
Value
a data.frame with the calculated features as columns and a specified rowname, if given
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. https://doi.org/10.20378/irbo-54833
[Package SmartMeterAnalytics version 1.0.3 Index]