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" <doi:10.20378/irbo-54833> and Hopf et al. (2016) <doi:10.1007/s12525-018-0290-9> "Enhancing energy efficiency in the residential sector with smart meter data analytics".
Version: 1.1.1 Imports: plyr, futile.logger, FNN, stinepack, zoo Suggests: stringr, knitr, rmarkdown, ROCR, randomForest, caret, dplyr Published: 2025-04-19 DOI: 10.32614/CRAN.package.SmartMeterAnalytics Author: Konstantin Hopf [aut, cre], Andreas Weigert [ctb], Ilya Kozlovskiy [ctb], Thorsten Staake [ctb] Maintainer: Konstantin Hopf <konstantin.hopf at uni-bamberg.de> License: MIT + file LICENSE NeedsCompilation: no Citation: SmartMeterAnalytics citation info CRAN checks: SmartMeterAnalytics results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=SmartMeterAnalytics to link to this page.
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