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SmartMeterAnalytics
View on CRAN: Click
here
Download and install SmartMeterAnalytics package within the R console
Install from CRAN:
install.packages("SmartMeterAnalytics")
Install from Github:
library("remotes")
install_github("cran/SmartMeterAnalytics") Install by package version:
library("remotes")
install_version("SmartMeterAnalytics", "1.1.1") Attach the package and use:
library("SmartMeterAnalytics")
Maintained by
Konstantin Hopf
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-18
Latest Update: 2025-04-19
Description:
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".
How to cite:
Konstantin Hopf (2020). SmartMeterAnalytics: Methods for Smart Meter Data Analysis. R package version 1.1.1, https://cran.r-project.org/web/packages/SmartMeterAnalytics. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 1.0.3 (2020-08-18 11:30)
Other packages that cited SmartMeterAnalytics R package
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Other R packages that SmartMeterAnalytics depends,
imports, suggests or enhances
Complete documentation for SmartMeterAnalytics
Functions, R codes and Examples using
the SmartMeterAnalytics R package
Some associated functions: calc_features15_consumption . calc_features30_consumption . calc_features60_consumption . calc_features_daily_multipleTS . calc_features_weather . calc_featuresco_consumption . calc_featuresda_consumption . calc_featureshtnt_consumption2 . calc_featuresnt_consumption . encode_p_val_stars . features_all_subsets . getDay_ISO8601_week . getDay_US_week . interpolate_missingReadings . naInf_omit . occupancy_cluster . prepareFeatureSet . remove_empty_features . replaceNAsFeatures . smote .
Some associated R codes: F_NA_Inf_omit.R . F_PrepareFeatureSet.R . F_all_subsets.R . F_encode_p_val_stars.R . F_features_15min.R . F_features_30min.R . F_features_60min.R . F_features_consumption.R . F_features_daily.R . F_features_daily_htnt2.R . F_features_daily_multipleTS.R . F_features_daily_nt.R . F_features_weather_30min.R . F_getDay_ISO8601_week.R . F_getDay_US_week.R . F_interpolate_missingReadings.R . F_occupancy_cluster.R . F_remove_empty_features.R . F_replaceNAsFeatures.R . F_smote_oversampling.R . Full SmartMeterAnalytics package functions and examples
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