Bagging Ensemble Classifier for Predicting Lightning Flashovers on Distribution Lines (CROSBI ID 721854)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Sarajcev, Petar
engleski
Bagging Ensemble Classifier for Predicting Lightning Flashovers on Distribution Lines
This paper introduces a bagging ensemble classifier, built from support vector machines (SVM), for predicting lightning flashovers on overhead distribution lines (OHL). Support vectors from the underlying SVM give rise to the so-called curve of limiting parameters (CLP), which features prominently in the statistical method of insulation coordination. Proposed machine learning-based approach enables a straightforward derivation of the line's CLP-from simulations or actual measurements data gathered by the lightning location systems-for its subsequent use in insulation coordination studies. It also facilitates computing the risk of insulation flashover. Both these aspects fully endorse statistical approach to the insulation coordination and flashover performance analysis of OHLs.
bagging ensemble ; distribution line ; flashover ; lightning ; insulation coordination ; support vector machine
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Podaci o prilogu
1570796201
2022.
objavljeno
10.23919/SpliTech55088.2022.9854317
Podaci o matičnoj publikaciji
7th International Conference on Smart and Sustainable Technologies
978-1-6654-8828-0
Podaci o skupu
7th International Conference on Smart and Sustainable Technologies (SpliTech 2022)
predavanje
05.07.2022-08.07.2022
Split / Bol, Hrvatska