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https://github.com/TAMU-AML/DSWE-Package
An R implementation of some of the data science methods for wind energy (DSWE) applications.
https://github.com/TAMU-AML/DSWE-Package
Last synced: about 2 months ago
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An R implementation of some of the data science methods for wind energy (DSWE) applications.
- Host: GitHub
- URL: https://github.com/TAMU-AML/DSWE-Package
- Owner: TAMU-AML
- License: other
- Created: 2020-04-10T16:03:54.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-02-06T04:16:39.000Z (8 months ago)
- Last Synced: 2024-04-14T16:15:14.581Z (5 months ago)
- Language: R
- Homepage:
- Size: 4.66 MB
- Stars: 10
- Watchers: 6
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- open-sustainable-technology - DSWE - An R implementation of various data science methods for wind energy (DSWE) applications, such as providing machine learning methods to accurately estimate the wind power curve. (Renewable Energy / Wind Energy)
README
DSWE (Data Science for Wind Energy)
# Tutorial and examples
## A tutorial for the package is available on zenodo at this [link](https://zenodo.org/record/6823803#)
# Installation
## For versions 1.5.1 and above (through [CRAN](https://cran.r-project.org/package=DSWE)):
```R
install.packages("DSWE")
```
Note: The package contains C++ code, hence installation using source requires C++ compilers: [Rtools](https://cran.r-project.org/bin/windows/Rtools/) for Windows, [Apple Command Line Tools](https://osxdaily.com/2014/02/12/install-command-line-tools-mac-os-x/) and [GFortran](https://mac.r-project.org/tools/) for Mac OS. The pre-compiled binaries available through [CRAN](https://cran.r-project.org), the offical package repository for `R`, do not require C++ compilers.
## For versions prior to 1.5.1:
Install using the remotes package by specify the version (for example, version 1.3.1) as follows:
```R
remotes::install_github("TAMU-AML/[email protected]")
```