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1 Ergebnisse
1
A Real-Time Load Forecasting Approach Based on Graph Convol..:
, In:
2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
,
Pan, Li
;
Gan, Jixiang
;
Liu, Qi
.. - p. 0921-0926 , 2023
Link:
https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023..
RT T1
2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
: T1
A Real-Time Load Forecasting Approach Based on Graph Convolution Neural Network in a Distributed IoT Energy System
UL https://suche.suub.uni-bremen.de/peid=ieee-10361454&Exemplar=1&LAN=DE A1 Pan, Li A1 Gan, Jixiang A1 Liu, Qi A1 Zhang, Yonghong A1 Liu, Xiaodong YR 2023 SN 2837-0740 K1 Training K1 Load forecasting K1 Sockets K1 Distributed databases K1 Predictive models K1 Feature extraction K1 Real-time systems K1 Real-time Intelligent Methods K1 Time Series Forecasting K1 Graph Convolutional Network K1 Long Short-Term Memory K1 Energy System SP 0921 OP 0926 LK http://dx.doi.org/https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361454 DO https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361454 SF ELIB - SuUB Bremen
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