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oRaklE
View on CRAN: Click
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Download and install oRaklE package within the R console
Install from CRAN:
install.packages("oRaklE")
Install from Github:
library("remotes")
install_github("cran/oRaklE") Install by package version:
library("remotes")
install_version("oRaklE", "1.0.2") Attach the package and use:
library("oRaklE")
Maintained by
Johannes Schwenzer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2025-05-13
Latest Update: 2025-05-05
Description:
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.
How to cite:
Johannes Schwenzer (2025). oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution. R package version 1.0.2, https://cran.r-project.org/web/packages/oRaklE. Accessed 11 Jun. 2026.
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