<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>yuding-2020.r-universe.dev</title><link>https://yuding-2020.r-universe.dev</link><description>Recent package updates in yuding-2020</description><generator>R-universe</generator><image><url>https://github.com/yuding-2020.png</url><title>R packages by yuding-2020</title><link>https://yuding-2020.r-universe.dev</link></image><lastBuildDate>Tue, 06 Feb 2024 04:16:39 GMT</lastBuildDate><item><title>[tamu-aml] DSWE 1.8.0</title><author>yuding2007@gmail.com (Yu Ding)</author><description>Data science methods used in wind energy applications.
Current functionalities include creating a multi-dimensional
power curve model, performing power curve function comparison,
covariate matching, and energy decomposition. Relevant works
for the developed functions are: funGP() - Prakash et al.
(2022) &lt;doi:10.1080/00401706.2021.1905073&gt;, AMK() - Lee et al.
(2015) &lt;doi:10.1080/01621459.2014.977385&gt;, tempGP() - Prakash
et al. (2022) &lt;doi:10.1080/00401706.2022.2069158&gt;,
ComparePCurve() - Ding et al. (2021)
&lt;doi:10.1016/j.renene.2021.02.136&gt;, deltaEnergy() - Latiffianti
et al. (2022) &lt;doi:10.1002/we.2722&gt;, syncSize() - Latiffianti
et al. (2022) &lt;doi:10.1002/we.2722&gt;, imptPower() - Latiffianti
et al. (2022) &lt;doi:10.1002/we.2722&gt;, All other functions - Ding
(2019, ISBN:9780429956508).</description><link>https://github.com/r-universe/tamu-aml/actions/runs/38227761710</link><pubDate>Tue, 06 Feb 2024 04:16:39 GMT</pubDate><r:package>DSWE</r:package><r:version>1.8.0</r:version><r:status>success</r:status><r:repository>https://tamu-aml.r-universe.dev</r:repository><r:upstream>https://github.com/tamu-aml/dswe-package</r:upstream></item></channel></rss>