Results

eNauka >  Results >  An end-to-end deep learning method for voltage sag classification
Title: An end-to-end deep learning method for voltage sag classification
Authors: Turović, Radovan  ; Dragan, Dinu  ; Gojić, Gorana  ; Petrović, Veljko  ; Gajić, Dušan  ; Stanisavljević, Aleksandar  ; Katić, Vladimir 
Issue Date: 2022
Publication: An end-to-end deep learning method for voltage sag classification 15(8)
ISSN: 1996-1073 Energies Search Idenfier
Type: Article
Collation: vol. 15 br. 8 str. 2898-2898
DOI: 10.3390/en15082898
WoS-ID: 000786125200001
Scopus-ID: 2-s2.0-85129091459
URI: https://unilib.phaidrabg.rs/o:2435
https://enauka.gov.rs/handle/123456789/767334
Project: Ministry of Education, Science, and Technological Development [451-03-68/2022-14/ 200156]
M-category: 
22M22

19
SCOPUSTM
3
OpenCitations
16
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.