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oRaklE  

Multi-Horizon Electricity Demand Forecasting in High Resolution
View on CRAN: Click here


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]
All associated links for this package
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 29 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:36), 1.0.0 (2025-04-29 10:50), 1.0.1 (2025-05-05 20:30)
Other packages that cited oRaklE R package
View oRaklE citation profile
Other R packages that oRaklE depends, imports, suggests or enhances
Complete documentation for oRaklE
Functions, R codes and Examples using the oRaklE R package
Full oRaklE package functions and examples
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