Methods for Smart Meter Data Analysis R package SmartMeterAnalytics version 1.1.1 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". Software Imports: plyr, futile.logger, FNN, stinepack, zoo Suggests: stringr, knitr, rmarkdown, ROCR, randomForest, caret, dplyr Konstantin Hopf <konstantin.hopf@uni-bamberg.de> Comprehensive R Archive Network (CRAN) Konstantin Hopf [aut, cre] (ORCID: <https://orcid.org/0000-0002-5452-0672>), Andreas Weigert [ctb], Ilya Kozlovskiy [ctb], Thorsten Staake [ctb] (ORCID: <https://orcid.org/0000-0003-1399-4676>) MIT + file LICENSE (https://CRAN.R-project.org/package=SmartMeterAnalytics/LICENSE) 2025-04-19 application/tgz https://CRAN.R-project.org/package=SmartMeterAnalytics doi:10.32614/CRAN.package.SmartMeterAnalytics