SmartMeterAnalytics: 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" <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: 1.0.3
Imports: plyr, futile.logger, FNN, stinepack, zoo
Suggests: stringr, knitr, rmarkdown, ROCR, randomForest, caret, dplyr
Published: 2020-08-18
Author: Konstantin Hopf ORCID iD [aut, cre], Andreas Weigert [ctb], Ilya Kozlovskiy [ctb], Thorsten Staake ORCID iD [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:

Reference manual: SmartMeterAnalytics.pdf

Downloads:

Package source: SmartMeterAnalytics_1.0.3.tar.gz
Windows binaries: r-devel: SmartMeterAnalytics_1.0.3.zip, r-release: SmartMeterAnalytics_1.0.3.zip, r-oldrel: SmartMeterAnalytics_1.0.3.zip
macOS binaries: r-release (arm64): SmartMeterAnalytics_1.0.3.tgz, r-release (x86_64): SmartMeterAnalytics_1.0.3.tgz, r-oldrel: SmartMeterAnalytics_1.0.3.tgz

Reverse dependencies:

Reverse enhances: ResidentialEnergyConsumption

Linking:

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