calc_featuresnt_consumption: Calculates consumption features from daily (HT / NT) smart...
In SmartMeterAnalytics: Methods for Smart Meter Data Analysis

Description Usage Arguments Details Author(s) References

The division in HT / NT is done from the input smart meter data

calc_featuresnt_consumption(
  B,
  rowname = NULL,
  featsCoarserGranularity = FALSE,
  replace_NA_with_defaults = TRUE
)

`B`	a vector with length 2247 = 336 measurements in one day in seven days a week
`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`	an optional boolean argument specifying if missing values will be replaced with standard values (i.e., zero values)

HT consumption is during the time 07:00-22:00

Konstantin Hopf konstantin.hopf@uni-bamberg.de

Hopf, K. (2019). Predictive Analytics for Energy Efficiency and Energy Retailing (1st ed.). Bamberg: University of Bamberg. https://doi.org/10.20378/irbo-54833

Hopf, K., Sodenkamp, M., Kozlovskiy, I., & Staake, T. (2014). Feature extraction and filtering for household classification based on smart electricity meter data. Computer Science-Research and Development, (31) 3, 141–148. https://doi.org/10.1007/s00450-014-0294-4

Hopf, K., Sodenkamp, M., & Staake, T. (2018). Enhancing energy efficiency in the residential sector with smart meter data analytics. Electronic Markets, 28(4). https://doi.org/10.1007/s12525-018-0290-9

SmartMeterAnalytics documentation built on Aug. 18, 2020, 5:07 p.m.