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: 4.0.0 Depends: R (≥ 4.1.0) Imports: Rcpp, terra, sf, RColorBrewer, calibrate, grDevices, graphics, magrittr, methods, stats, utils LinkingTo: Rcpp Suggests: testthat (≥ 3.0.0), foreach, parallel, doParallel, progress, stars, raster, leaflet, elevatr (≥ 0.99.0), ggplot2, gstat, rworldmap Published: 2025-01-18 DOI: 10.32614/CRAN.package.windfarmGA Author: Sebastian Gatscha [aut, cre, cph] 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 CRAN checks: windfarmGA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=windfarmGA to link to this page.
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