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: |
1.1.1 |
| 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 |
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