calc_features60_consumption {SmartMeterAnalytics} | R Documentation |
Calculates features from 15-min smart meter data
Description
Calculates features from 15-min smart meter data
Usage
calc_features60_consumption(B, rowname = NULL, replace_NA_with_defaults = TRUE)
Arguments
B |
a vector with length 24*7 = 168 measurements in one day in seven days a week |
rowname |
the row name of the resulting feature vector |
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 the row name of the resulting feature vector
Author(s)
Konstantin Hopf konstantin.hopf@uni-bamberg.de
Examples
# Create a random time series of 60-minute smart meter data (168 measurements per week)
smd <- runif(n=168, min=0, max=2)
# Calculate the smart meter data features
calc_features60_consumption(smd)
[Package SmartMeterAnalytics version 1.0.3 Index]