oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution

Advanced forecasting algorithms for long-term energy demand at the national or regional level. The methodology is based on Grandón et al. (2024) <doi:10.1016/j.apenergy.2023.122249>; Zimmermann & Ziel (2024) <doi:10.1016/j.apenergy.2025.125444>. Real-time data, including power demand, weather conditions, and macroeconomic indicators, are provided through automated API integration with various institutions. The modular approach maintains transparency on the various model selection processes and encompasses the ability to be adapted to individual needs. 'oRaklE' tries to help facilitating robust decision-making in energy management and planning.

Version:	1.0.1
Depends:	R (≥ 3.5)
Imports:	ggplot2, scales, MLmetrics, MuMIn, R.utils, caret, survival, countrycode, doParallel, dplyr, ggthemes, glmnet, httr, jsonlite, lubridate, mgcv, patchwork, purrr, xml2, zoo
Suggests:	knitr, rmarkdown, roxygen2 (≥ 7.2.3), spelling, testthat (≥ 3.0.0)
Published:	2025-05-05
DOI:	10.32614/CRAN.package.oRaklE
Author:	Johannes Schwenzer [aut, cre, cph], Simone Maxand [aut], Tatiana Gonzalez Grandón [aut]
Maintainer:	Johannes Schwenzer <schwenzer at europa-uni.de>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	oRaklE results

Documentation:

Reference manual:	oRaklE.pdf
Vignettes:	oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution (source, R code)

Downloads:

Package source:	oRaklE_1.0.1.tar.gz
Windows binaries:	r-devel: oRaklE_1.0.1.zip, r-release: oRaklE_1.0.1.zip, r-oldrel: oRaklE_1.0.1.zip
macOS binaries:	r-release (arm64): oRaklE_1.0.1.tgz, r-oldrel (arm64): oRaklE_1.0.1.tgz, r-release (x86_64): oRaklE_1.0.1.tgz, r-oldrel (x86_64): oRaklE_1.0.1.tgz
Old sources:	oRaklE archive

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