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Cycle Detection in Time Series: CyDeTS

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Apr 2019 English Publisher:Zenodo
Authors: Francesco Witte; Cord Kaldemeyer;
Code repository: https://github.com/oemof/cydets/tree/v1.0

doi: 10.5281/zenodo.2631800 , 10.5281/zenodo.2625698 , 10.5281/zenodo.2806946

Cycle Detection in Time Series: CyDeTS

Abstract

{"references": ["Dambrowski, Jonny; Pichlmaier, Simon & Jossen, Andreas. Mathematical methods for classification of state-of-charge time series for cycle lifetime prediction. Advanced Automotive Battery Conference. Mainz, Germany. 2012."]}

This package implements an algorithm to detect cycles in a times series along with their respective amplitude and and duration. For more information see the README-file at the oemof/cydets github repository.

Related Organizations
Keywords

cycles, time series

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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