SmartMeterAnalytics (version 1.1.1)

calc_featuresnt_consumption: Calculates consumption features from daily (HT / NT) smart meter data

Description

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

Usage

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

Arguments

B

a vector with length 2*24*7 = 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)

Author

Konstantin Hopf

Details

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

References

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")

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. tools:::Rd_expr_doi("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). tools:::Rd_expr_doi("10.1007/s12525-018-0290-9")