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1 Ergebnisse
1
CONV1D-GRU: A Hybrid Model for Short-Term Electrical Load F..:
, In:
2023 International Telecommunications Conference (ITC-Egypt)
,
Farid, Karim S.
;
Ali, A.A.
;
Salem, Sameh A.
. - p. 281-286 , 2023
Link:
https://doi.org/10.1109/ITC-Egypt58155.2023.10206214
RT T1 <cTitle>2023 International Telecommunications Conference (ITC-Egypt)</cTitle>: T1 <Title>CONV1D-GRU: A Hybrid Model for Short-Term Electrical Load Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10206214&Exemplar=1&LAN=DE A1 Farid, Karim S. A1 Ali, A.A. A1 Salem, Sameh A. A1 Mohamed, Amr E. YR 2023 K1 Load forecasting K1 Computational modeling K1 Time series analysis K1 Predictive models K1 Data models K1 Smart meters K1 Hybrid power systems K1 Short-Term Load Forecasting (STLF) K1 Extreme gradient boosting (XBoost) K1 Prophet K1 Autoregressive integrated moving average (ARIMA) K1 Gated Recurrent Unit (GRU) K1 One-Dimension Convolutional Neural Networks (CONV1D) SP 281 OP 286 LK http://dx.doi.org/https://doi.org/10.1109/ITC-Egypt58155.2023.10206214 DO https://doi.org/10.1109/ITC-Egypt58155.2023.10206214 SF ELIB - SuUB Bremen
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