R Observatory: Metrics for oRaklE version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

oRaklE needs insight (through MuMIn), which CRAN will archive unless its check problems are fixed by Nov 14.

oRaklE

1.0.2Package record

Multi-Horizon Electricity Demand Forecasting in High Resolution

0packages depend

3Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Johannes SchwenzerCRAN page ↗

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.

Changes in 1.0.2

Major changes

Updated ENTSO-E data retrieval logic. Due to changes in the Transparency Platform API, the previous version of get_entsoE_data() could no longer retrieve data correctly. The function has been adapted to the new XML structure.
Replaced all stop() calls during GET requests with safe message() + graceful return to comply with CRAN policies.

Bug fixes

Fixed an issue where non dynamic column referencing could fail to retrieve the correct macro economic indicators for some countries from the WEO Outlook data

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("oRaklE", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-orakle

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-oRaklE

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-oRaklE

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.2

READMEYes · 2,115 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.2Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 36
Examples that run: 100%18 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution HTML

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #16,921 · ~8/day · ~249/mo

Releases R versions

Daily download trend is not available in this view yet.

30630 days

75390 days

3K1 year

Compare downloads with other packages →

Also on125 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

23 external dependencies (excludes base and recommended)

Installing oRaklE adds 89 packages (47 with compiled code, 70 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 3.5

Imports (20)

ggplot2 scales MLmetrics MuMIn R.utils caretsurvivalcountrycode doParallel dplyr ggthemes glmnet httr jsonlite lubridatemgcvpatchwork purrr xml2 zoo

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown roxygen2 spelling testthat (>= 3.0.0)

Enhances (0)

none

Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

insight through MuMInfix by Nov 14

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Johannes Schwenzer

Tatiana Gonzalez Grandón

Author

Simone Maxand

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.2Latest
record
2025-11-21 · current release · diff ↗
1.0.1
record
2025-05-05 · diff ↗
1.0.0
record
2025-04-29
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-04-29
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 4.4 MB / 18 files
Download size: 4.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("oRaklE")

Format

Schwenzer, J., Gonzalez Grandón, T., & Maxand, S. (2025). oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.oRaklE

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for oRaklE version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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