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windfarmGA
View on CRAN: Click
here
Download and install windfarmGA package within the R console
Install from CRAN:
install.packages("windfarmGA")
Install from Github:
library("remotes")
install_github("cran/windfarmGA")
Install by package version:
library("remotes")
install_version("windfarmGA", "4.0.0")
Attach the package and use:
library("windfarmGA")
Maintained by
Sebastian Gatscha
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.windfarmGA . https://github.com/YsoSirius/windfarmGA/issues . https://ysosirius.github.io/windfarmGA/index.html . windfarmGA results . windfarmGA.pdf . windfarmGA_4.0.0.tar.gz . windfarmGA_4.0.0.zip . windfarmGA_4.0.0.zip . windfarmGA_4.0.0.zip . windfarmGA_4.0.0.tgz . windfarmGA_4.0.0.tgz . windfarmGA_4.0.0.tgz . windfarmGA_4.0.0.tgz . windfarmGA archive . https://CRAN.R-project.org/package=windfarmGA .
First Published: 2017-06-24
Latest Update: 2025-01-18
Description:
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.
How to cite:
Sebastian Gatscha (2017). windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization. R package version 4.0.0, https://cran.r-project.org/web/packages/windfarmGA. Accessed 04 May. 2025.
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