<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>'Hydropeaking Events Detection Algorithm'</dc:title>
  <dc:title>R package HEDA version 0.1.5</dc:title>
  <dc:description>This tool identifies hydropeaking events from raw time-series flow record, a rapid flow variation induced by the hourly-adjusted electricity market. The novelty of 'HEDA' is to use vector angle instead of the first-order derivative to detect change points which not only largely improves the computing efficiency but also accounts for the rate of change of the flow variation. More details &lt;doi:10.1016/j.jhydrol.2021.126392&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0), dplyr (&gt;= 1.0.2), ggplot2 (&gt;= 3.1.0), zoo (&gt;=
1.8.7), lubridate (&gt;= 1.7.4), rlang (&gt;= 0.4.11)</dc:relation>
  <dc:creator>Tingyu Li &lt;styli@ucdavis.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tingyu Li [aut, cre],
  Xiaotian Zou [aut],
  Gregory Pasternack [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=HEDA/LICENSE)</dc:rights>
  <dc:date>2021-07-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HEDA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HEDA</dc:identifier>
</oai_dc:dc>
