elcf4R: Electricity Load Curves Forecasting at Individual Level
Implements forecasting methods for individual electricity load curves, including Kernel Wavelet Functional (KWF), clustered KWF, Generalized Additive Models (GAM), Multivariate Adaptive Regression Splines (MARS), and Long Short-Term Memory (LSTM) models. Provides normalized dataset adapters for iFlex, StoreNet, Low Carbon London, and REFIT; download and read support for IDEAL and GX; explicit Python backend selection for TensorFlow-based LSTM fits; helpers for daily segmentation and rolling-origin benchmarking; and compact shipped example panels and benchmark-result datasets.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, utils, mgcv, earth, keras3, Rcpp, tensorflow, data.table, wavelets, jsonlite, xml2, DBI, RSQLite |
| LinkingTo: | Rcpp |
| Suggests: | knitr, reticulate, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-04-21 |
| DOI: | 10.32614/CRAN.package.elcf4R |
| Author: | Frederic Bertrand 
[cre, aut],
Fatima Fahs [aut],
Myriam Maumy-Bertrand
[aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at lecnam.net> |
| BugReports: | https://github.com/fbertran/elcf4R/issues |
| License: | GPL-3 |
| URL: | https://fbertran.github.io/elcf4R/, https://github.com/fbertran/elcf4R |
| NeedsCompilation: | yes |
| Citation: | elcf4R citation info |
| Materials: | README, NEWS |
| CRAN checks: | elcf4R results |
Documentation:
| Reference manual: | elcf4R.html , elcf4R.pdf |
| Vignettes: |
Datasets and shipped artifacts (source, R code) iFlex Workflow with Shipped Example Data (source, R code) |
Downloads:
| Package source: | elcf4R_0.4.0.tar.gz |
| Windows binaries: | r-devel: elcf4R_0.4.0.zip, r-release: elcf4R_0.4.0.zip, r-oldrel: elcf4R_0.4.0.zip |
| macOS binaries: | r-release (arm64): elcf4R_0.4.0.tgz, r-oldrel (arm64): elcf4R_0.4.0.tgz, r-release (x86_64): elcf4R_0.4.0.tgz, r-oldrel (x86_64): elcf4R_0.4.0.tgz |
Linking:
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