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1 Ergebnisse
1
Low-Frequency Load Identification Using CNN-BiLSTM Attentio..:
, In:
2024 32nd Mediterranean Conference on Control and Automation (MED)
,
Azzam, Amanie
;
Sanami, Saba
;
Aghdam, Amir G.
- p. 712-717 , 2024
Link:
https://doi.org/10.1109/MED61351.2024.10566167
RT T1 <cTitle>2024 32nd Mediterranean Conference on Control and Automation (MED)</cTitle>: T1 <Title>Low-Frequency Load Identification Using CNN-BiLSTM Attention Mechanism</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10566167&Exemplar=1&LAN=DE A1 Azzam, Amanie A1 Sanami, Saba A1 Aghdam, Amir G. YR 2024 SN 2473-3504 K1 Load monitoring K1 Home appliances K1 Accuracy K1 Computational modeling K1 Feature extraction K1 Data models K1 Real-time systems K1 Load identification K1 BiLSTM K1 CNN K1 Deep learning K1 Attention mechanism SP 712 OP 717 LK http://dx.doi.org/https://doi.org/10.1109/MED61351.2024.10566167 DO https://doi.org/10.1109/MED61351.2024.10566167 SF ELIB - SuUB Bremen
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