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1 Ergebnisse
1
Anomaly Detection Model of Consumer Power Consumption Based..:
, In:
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)
,
Wang, Peng
;
Hu, Cong
;
Liu, Cuiling
... - p. 1325-1328 , 2022
Link:
https://doi.org/10.1109/ITOEC53115.2022.9734353
RT T1 <cTitle>2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)</cTitle>: T1 <Title>Anomaly Detection Model of Consumer Power Consumption Based on Sampling Data in Data Center</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9734353&Exemplar=1&LAN=DE A1 Wang, Peng A1 Hu, Cong A1 Liu, Cuiling A1 Zhang, Cuicui A1 Hong, Dehua A1 Sun, Jiali YR 2022 SN 2693-289X K1 Training K1 Deep learning K1 Machine learning algorithms K1 Neural networks K1 Predictive models K1 Prediction algorithms K1 Data models K1 Data center K1 anomaly detection K1 machine learning K1 sampling method SP 1325 OP 1328 LK http://dx.doi.org/https://doi.org/10.1109/ITOEC53115.2022.9734353 DO https://doi.org/10.1109/ITOEC53115.2022.9734353 SF ELIB - SuUB Bremen
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