calc_features60_consumption: Calculates features from 15-min smart meter data
In SmartMeterAnalytics: Methods for Smart Meter Data Analysis

Description Usage Arguments Value Author(s) Examples

Calculates features from 15-min smart meter data

1	calc_features60_consumption(B, rowname = NULL, replace_NA_with_defaults = TRUE)

`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

a data.frame with the calculated features as columns and a specified rowname, if given the row name of the resulting feature vector

Konstantin Hopf konstantin.hopf@uni-bamberg.de

# 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)