Methods for Smart Meter Data Analysis

Methods for analysis of energy consumption data (electricity, gas, water) at different data measurement intervals. The package provides feature extraction methods and algorithms to prepare data for data mining and machine learning applications. Deatiled descriptions of the methods and their application can be found in Hopf (2019, ISBN:978-3-86309-669-4) "Predictive Analytics for Energy Efficiency and Energy Retailing" and Hopf et al. (2016) "Enhancing energy efficiency in the residential sector with smart meter data analytics".


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.3 by Konstantin Hopf, a year ago

Browse source code at

Authors: Konstantin Hopf [aut, cre] , Andreas Weigert [ctb] , Ilya Kozlovskiy [ctb] , Thorsten Staake [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports plyr, futile.logger, FNN, stinepack, zoo

Suggests stringr, knitr, rmarkdown, ROCR, randomForest, caret, dplyr

Enhanced by ResidentialEnergyConsumption.

See at CRAN