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 |
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