Applied Analysis of Differences by Cross-Correlation Functions
The result's identifiers
Result code in 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>
Alternative codes found
RIV/70883521:28140/24:63587298
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Applied Analysis of Differences by Cross-Correlation Functions
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Networks and Systems
ISBN
978-3-031-53551-2
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
7
Pages from-to
210-216
Publisher name
Springer
Place of publication
Cham
Event location
Zlín
Event date
Oct 11, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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