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-4.7)MEFM_2.2.zip(r-4.6)MEFM_2.2.zip(r-4.5)
MEFM_2.2.tgz(r-4.6-any)MEFM_2.2.tgz(r-4.5-any)
MEFM_2.2.tar.gz(r-4.7-any)MEFM_2.2.tar.gz(r-4.6-any)
MEFM_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MEFM/json (API)

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

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:

Conda:

3.92 score 55 stars 1 packages 8 scripts 609 downloads 8 exports 31 dependencies

Last updated from:009e03c466. Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING135
source / vignettesOK159
linux-release-x86_64WARNING132
macos-release-arm64WARNING79
macos-oldrel-arm64WARNING107
windows-develWARNING90
windows-releaseWARNING101
windows-oldrelWARNING96
wasm-releaseOK114

Exports:blockstatdemand_modelmaketempsna.interpseason.bootstrapsimulate_ddemandsimulate_demandsimulate.temp

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo