Applied Analysis of Differences by Cross-Correlation Functions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F24%3AA2502NWS" target="_blank" >RIV/61988987:17450/24:A2502NWS - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/24:63587298

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-53552-9_19" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-53552-9_19</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-53552-9_19" target="_blank" >10.1007/978-3-031-53552-9_19</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applied Analysis of Differences by Cross-Correlation Functions

Popis výsledku v původním jazyce

The testing of the statistically significant similarities between two different data series cannot be measured using by Wilcoxon or T paired test, because there is not exists pretest and posttest. For the alternative way of testing the similarities, when data has some boundness, the proposal of using cross-correlation tests is presented in this paper. When necessary, the condition is existing some same characteristics, which can be seen as the connection of two power system nodes in the power transmission system. The cross-correlation analysis can be suitably complemented using by computing the p values between the correlation data themselves, which in addition, the trend of correlation data is measured for expression of the dynamic of cross-correlation achieved data. Application of the proposed method is realized on the real data set of the behavior of power transmission systems in the Moravia-Silesian region.

Název v anglickém jazyce

Applied Analysis of Differences by Cross-Correlation Functions

Popis výsledku anglicky

The testing of the statistically significant similarities between two different data series cannot be measured using by Wilcoxon or T paired test, because there is not exists pretest and posttest. For the alternative way of testing the similarities, when data has some boundness, the proposal of using cross-correlation tests is presented in this paper. When necessary, the condition is existing some same characteristics, which can be seen as the connection of two power system nodes in the power transmission system. The cross-correlation analysis can be suitably complemented using by computing the p values between the correlation data themselves, which in addition, the trend of correlation data is measured for expression of the dynamic of cross-correlation achieved data. Application of the proposed method is realized on the real data set of the behavior of power transmission systems in the Moravia-Silesian region.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Networks and Systems

ISBN

978-3-031-53551-2

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

7

Strana od-do

210-216

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Zlín

Datum konání akce

11. 10. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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