Fault detection and diagnosis of grid-connected photovoltaic systems using energy valley optimizer based lightweight CNN and wavelet transform

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Fault detection and diagnosis of grid-connected photovoltaic systems using energy valley optimizer based lightweight CNN and wavelet transform ; volume:14 ; number:1 ; day:14 ; month:8 ; year:2024 ; pages:1-22 ; date:12.2024
Scientific reports ; 14, Heft 1 (14.8.2024), 1-22, 12.2024

Creator: Teta, Ali
Korich, Belkacem
Bakria, Derradji
Hadroug, Nadji
Rabehi, Abdelaziz
Alsharef, Mohammad
Bajaj, Mohit
Zaitsev, Ievgen
Ghoneim, Sherif S. M.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-69890-7

URN: urn:nbn:de:101:1-2411041131085.819102481654

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Teta, Ali
Korich, Belkacem
Bakria, Derradji
Hadroug, Nadji
Rabehi, Abdelaziz
Alsharef, Mohammad
Bajaj, Mohit
Zaitsev, Ievgen
Ghoneim, Sherif S. M.
SpringerLink (Online service)

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Fault detection and diagnosis of grid-connected photovoltaic systems using energy valley optimizer based lightweight CNN and wavelet transform

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