windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Version: 3.0.0
Depends: R (≥ 3.2.3)
Imports: Rcpp, raster, sf, elevatr, RColorBrewer, calibrate, grDevices, graphics, foreach, parallel, doParallel, magrittr, methods, stats, utils
LinkingTo: Rcpp
Suggests: testthat, rgdal, rgeos, stars, leaflet, ggplot2, gstat, rworldmap
Published: 2021-05-05
Author: Sebastian Gatscha [aut, cre]
Maintainer: Sebastian Gatscha <sebastian_gatscha at gmx.at>
BugReports: https://github.com/YsoSirius/windfarmGA/issues
License: MIT + file LICENSE
URL: https://ysosirius.github.io/windfarmGA/index.html
NeedsCompilation: yes
Materials: NEWS
CRAN checks: windfarmGA results

Downloads:

Reference manual: windfarmGA.pdf
Package source: windfarmGA_3.0.0.tar.gz
Windows binaries: r-devel: windfarmGA_3.0.0.zip, r-release: windfarmGA_3.0.0.zip, r-oldrel: windfarmGA_3.0.0.zip
macOS binaries: r-release (arm64): windfarmGA_3.0.0.tgz, r-release (x86_64): windfarmGA_3.0.0.tgz, r-oldrel: windfarmGA_3.0.0.tgz
Old sources: windfarmGA archive

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