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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:10.2139/ssrn.4823013>. 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: | 1.0.0 |
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: | 2025-04-29 |
DOI: | 10.32614/CRAN.package.oRaklE |
Author: | Johannes Schwenzer
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Maintainer: | Johannes Schwenzer <schwenzer at europa-uni.de> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README |
CRAN checks: | oRaklE results [issues need fixing before 2025-05-13] |
Reference manual: | oRaklE.pdf |
Vignettes: |
oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution (source, R code) |
Package source: | oRaklE_1.0.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: oRaklE_1.0.0.zip, r-oldrel: not available |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): oRaklE_1.0.0.tgz, r-oldrel (x86_64): oRaklE_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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