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1 Ergebnisse
1
Electricity consumption prediction based on Transformer-LST:
, In:
2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC)
,
Qiao, Lin
;
Chen, Shuo
;
Qu, Ruiting
... - p. 228-231 , 2023
Link:
https://doi.org/10.1109/EIECC60864.2023.10456680
RT T1 <cTitle>2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC)</cTitle>: T1 <Title>Electricity consumption prediction based on Transformer-LSTM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10456680&Exemplar=1&LAN=DE A1 Qiao, Lin A1 Chen, Shuo A1 Qu, Ruiting A1 Ran, Ran A1 Guo, Yanliang A1 Tan, Wenjun YR 2023 K1 Electricity K1 Computational modeling K1 Data preprocessing K1 Time series analysis K1 Predictive models K1 Transformers K1 Data models K1 Electricity consumption prediction K1 Transformer K1 Long and Short Term Memory Network K1 data features SP 228 OP 231 LK http://dx.doi.org/https://doi.org/10.1109/EIECC60864.2023.10456680 DO https://doi.org/10.1109/EIECC60864.2023.10456680 SF ELIB - SuUB Bremen
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