HEDA: 'Hydropeaking Events Detection Algorithm'

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 <doi:10.1016/j.jhydrol.2021.126392>.

Version: 0.1.5
Depends: R (≥ 4.0), dplyr (≥ 1.0.2), ggplot2 (≥ 3.1.0), zoo (≥ 1.8.7), lubridate (≥ 1.7.4), rlang (≥ 0.4.11)
Published: 2021-07-20
Author: Tingyu Li [aut, cre], Xiaotian Zou [aut], Gregory Pasternack [aut]
Maintainer: Tingyu Li <styli at ucdavis.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: HEDA results

Downloads:

Reference manual: HEDA.pdf
Package source: HEDA_0.1.5.tar.gz
Windows binaries: r-devel: HEDA_0.1.5.zip, r-release: HEDA_0.1.4.zip, r-oldrel: HEDA_0.1.5.zip
macOS binaries: r-release (arm64): HEDA_0.1.4.tgz, r-release (x86_64): HEDA_0.1.5.tgz, r-oldrel: HEDA_0.1.5.tgz
Old sources: HEDA archive

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