Package: oRaklE 1.0.2

Johannes Schwenzer

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.

Authors:Johannes Schwenzer [aut, cre, cph], Simone Maxand [aut], Tatiana Gonzalez Grandón [aut]

oRaklE_1.0.2.tar.gz
oRaklE_1.0.2.tar.gz(r-4.7-any)oRaklE_1.0.2.tar.gz(r-4.6-any)
oRaklE_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
oRaklE/json (API)

# Install 'oRaklE' in R:

install.packages('oRaklE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

example_decomposed_data - Example Decomposed Data
example_demand_data - Example Demand Data
example_demand_data_filled - Example Demand Data Filled
example_full_model_future_predictions - Example Full Model Future Predictions Data
example_full_model_predictions - Example Full Model Predictions Data
example_longterm_and_macro_data - Example Longterm and Macro Data
example_longterm_data - Example Longterm Data
example_longterm_future_macro_data - Example Longterm Future Macro Data
example_longterm_future_predictions - Example Longterm Future Predictions Data
example_longterm_predictions - Example Longterm Predictions Data
example_midterm_demand_and_weather_data - Example Midterm Demand and Weather Data
example_midterm_demand_data - Example Midterm Demand Data This dataset contains the seasonal mid-term demand (the difference between the yearly average hourly electricity demand and the daily average hourly electricity demand) for each day for France from 2017 until 2021.
example_midterm_future_predictions - Example Midterm Future Predictions Data
example_midterm_predictions - Example Midterm Predictions Data
example_shortterm_demand_data - Example Short-term Demand Data
example_shortterm_future_predictions - Example Shortterm Future Predictions Data
example_shortterm_predictions - Example Shortterm Predictions Data
weo_data - World Economic Outlook (WEO) Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 1 scripts 224 downloads 18 exports 100 dependencies

Last updated from:39d94c0ffd. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	210
source / vignettes	OK	309
linux-release-x86_64	OK	194
wasm-release	OK	142

Exports:add_holidays_mid_term add_holidays_short_term combine_models combine_models_future decompose_load_data fill_missing_data full_forecast get_entsoE_data get_historic_load_data get_macro_economic_data get_weather_data long_term_future long_term_future_data long_term_lm mid_term_future mid_term_lm short_term_future short_term_lm

Dependencies:askpass bitops caret caTools class cli clock codetools countrycode cpp11 curl data.table diagram digest doParallel dplyr e1071 farver foreach future future.apply generics ggplot2 ggthemes glmnet globals glue gower gplots gtable gtools hardhat httr insight ipred isoband iterators jsonlite KernSmooth labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix mgcv mime MLmetrics ModelMetrics MuMIn nlme nnet numDeriv openssl parallelly patchwork pillar pkgconfig plyr pROC prodlim progressr proxy purrr R.methodsS3 R.oo R.utils R6 RColorBrewer Rcpp RcppEigen recipes reshape2 rlang ROCR rpart S7 scales shape sparsevctrs SQUAREM stringi stringr survival sys tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite withr xml2 zoo

oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution

Rendered fromoRaklE.Rmdusingknitr::rmarkdown

Last update: 2025-05-05
Started: 2025-04-29

Help page	Topics
Add holidays to the mid-term series	add_holidays_mid_term
Add holidays to the short-term series	add_holidays_short_term
Combine forecast models	combine_models
Combine forecast models for future predictions	combine_models_future
Decomposing the load data into long-, mid- and short-term component	decompose_load_data
Example Decomposed Data	example_decomposed_data
Example Demand Data	example_demand_data
Example Demand Data Filled	example_demand_data_filled
Example Full Model Future Predictions Data	example_full_model_future_predictions
Example Full Model Predictions Data	example_full_model_predictions
Example Longterm and Macro Data	example_longterm_and_macro_data
Example Longterm Data	example_longterm_data
Example Longterm Future Macro Data	example_longterm_future_macro_data
Example Longterm Future Predictions Data	example_longterm_future_predictions
Example Longterm Predictions Data	example_longterm_predictions
Example Midterm Demand and Weather Data	example_midterm_demand_and_weather_data
Example Midterm Demand Data This dataset contains the seasonal mid-term demand (the difference between the yearly average hourly electricity demand and the daily average hourly electricity demand) for each day for France from 2017 until 2021.	example_midterm_demand_data
Example Midterm Future Predictions Data	example_midterm_future_predictions
Example Midterm Predictions Data	example_midterm_predictions
Example Short-term Demand Data	example_shortterm_demand_data
Example Shortterm Future Predictions Data	example_shortterm_future_predictions
Example Shortterm Predictions Data	example_shortterm_predictions
Replace missing values in the load data set	fill_missing_data
Title	full_forecast
Load data from the ENTSO-E Transparency Platform	get_entsoE_data
Load historic yearly average load data	get_historic_load_data
Load a list of macroeconomic data from WDI	get_macro_economic_data
Load weather data via API	get_weather_data
Long-term trend predictions for future years	long_term_future
Get future predictions for the macro economic covariates	long_term_future_data
Long-term forecast	long_term_lm
Generate future mid-term demand predictions	mid_term_future
Mid-term forecast	mid_term_lm
Generate future short-term demand predictions	short_term_future
Short-term forecast	short_term_lm
World Economic Outlook (WEO) Data	weo_data

Package: oRaklE 1.0.2

oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution

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Readme and manuals

Help Manual

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