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1 Ergebnisse
1
Electricity Theft Detection Approach Using One-Class Classi..:
, In:
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
,
Miller, Madeleine
;
Habbak, Hany
;
Badr, Mahmoud
... - p. 260-265 , 2024
Link:
https://doi.org/10.1109/CCNC51664.2024.10454859
RT T1 <cTitle>2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>Electricity Theft Detection Approach Using One-Class Classification for AMI</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10454859&Exemplar=1&LAN=DE A1 Miller, Madeleine A1 Habbak, Hany A1 Badr, Mahmoud A1 Baza, Mohamed A1 Mahmoud, Mohamed A1 Fouda, Mostafa M. YR 2024 SN 2331-9860 K1 Support vector machines K1 Electricity K1 Detectors K1 Machine learning K1 Feature extraction K1 Data models K1 Recording K1 AMI K1 electricity theft K1 machine learning K1 OC-SVM K1 autoencoders SP 260 OP 265 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51664.2024.10454859 DO https://doi.org/10.1109/CCNC51664.2024.10454859 SF ELIB - SuUB Bremen
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