Package: MEFM 2.2

MEFM: Monash Electricity Forecasting Model

This package includes a set of tools for implementing the Monash Electricity Forecasting Model for electricity demand. The package requires the following data as input: half-hourly/hourly electricity demands; half-hourly/hourly temperatures at one or two locations; seasonal demographical and economical data; public holiday data. The formats of the required data are described in the help files.

Authors:Rob Hyndman [aut, cre, cph], Shu Fan [aut]

MEFM_2.2.tar.gz
MEFM_2.2.zip(r-4.5)MEFM_2.2.zip(r-4.4)MEFM_2.2.zip(r-4.3)
MEFM_2.2.tgz(r-4.4-any)MEFM_2.2.tgz(r-4.3-any)
MEFM_2.2.tar.gz(r-4.5-noble)MEFM_2.2.tar.gz(r-4.4-noble)
MEFM_2.2.tgz(r-4.4-emscripten)MEFM_2.2.tgz(r-4.3-emscripten)
MEFM.pdf |MEFM.html✨
MEFM/json (API)

# Install 'MEFM' in R:
install.packages('MEFM', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/robjhyndman/mefm-package/issues

Datasets:
  • sa - Historical data for model estimation
  • sa.econ - Historical demographic & economic data for South Australia
  • seasondays - The number of days in a season

On CRAN:

3.44 score 55 stars 7 scripts 519 downloads 8 exports 45 dependencies

Last updated 5 months agofrom:0875b330ea. Checks:OK: 1 WARNING: 6. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winWARNINGNov 10 2024
R-4.5-linuxWARNINGNov 10 2024
R-4.4-winWARNINGNov 10 2024
R-4.4-macWARNINGNov 10 2024
R-4.3-winWARNINGNov 10 2024
R-4.3-macWARNINGNov 10 2024

Exports:blockstatdemand_modelmaketempsna.interpseason.bootstrapsimulate_ddemandsimulate_demandsimulate.temp

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo