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1 Ergebnisse
1
Hybrid Decomposition-Deep Learning Model for Energy Load Pr..:
, In:
2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE)
,
Gomez, William
;
Wang, Fu-Kwun
- p. 557-562 , 2023
Link:
https://doi.org/10.1109/ECICE59523.2023.10383005
RT T1 <cTitle>2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE)</cTitle>: T1 <Title>Hybrid Decomposition-Deep Learning Model for Energy Load Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10383005&Exemplar=1&LAN=DE A1 Gomez, William A1 Wang, Fu-Kwun YR 2023 K1 Economics K1 Adaptation models K1 Uncertainty K1 Artificial neural networks K1 Predictive models K1 Data models K1 Time measurement K1 short-term load prediction K1 deep neural network K1 bidirectional long short-term with attention K1 electricity load K1 uncertainty estimation SP 557 OP 562 LK http://dx.doi.org/https://doi.org/10.1109/ECICE59523.2023.10383005 DO https://doi.org/10.1109/ECICE59523.2023.10383005 SF ELIB - SuUB Bremen
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