Provides wind energy practitioners with an effective machine learning-based tool that estimates a multivariate power curve and predicts the wind power output for a specific environmental condition.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | circular (≥ 0.4-7), graphics (≥ 3.3.0), KernSmooth (≥ 2.23-15), mixtools (≥ 1.1.0), stats (≥ 3.3.0) |
| Published: | 2017-06-07 |
| Author: | Yu Ding [aut], Hoon Hwangbo [aut, cre] |
| Maintainer: | Hoon Hwangbo <hhwangbo17 at gmail.com> |
| License: | GPL-3 |
| Copyright: | Copyright (c) 2017 Y. Ding, H. Hwangbo, and Texas A&M University |
| NeedsCompilation: | no |
| CRAN checks: | kernplus results |
| Reference manual: | kernplus.pdf |
| Package source: | kernplus_0.1.0.tar.gz |
| Windows binaries: | r-devel: kernplus_0.1.0.zip, r-release: kernplus_0.1.0.zip, r-oldrel: kernplus_0.1.0.zip |
| OS X El Capitan binaries: | r-release: kernplus_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: kernplus_0.1.0.tgz |
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