'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 .


Reference manual

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0.1.5 by Tingyu Li, 3 months ago

Browse source code at https://github.com/cran/HEDA

Authors: Tingyu Li [aut, cre] , Xiaotian Zou [aut] , Gregory Pasternack [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Depends on dplyr, ggplot2, zoo, lubridate, rlang

See at CRAN