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1 Ergebnisse
1
Deep Concatenated Residual Network With Bidirectional LSTM ..:
, In:
2022 IEEE Power & Energy Society General Meeting (PESGM)
,
Ko, Min-seung
;
Lee, Kwangsuk
;
Kim, Jae-Kyeong
... - p. 1-1 , 2022
Link:
https://doi.org/10.1109/PESGM48719.2022.9916711
RT T1
2022 IEEE Power & Energy Society General Meeting (PESGM)
: T1
Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting
UL https://suche.suub.uni-bremen.de/peid=ieee-9916711&Exemplar=1&LAN=DE A1 Ko, Min-seung A1 Lee, Kwangsuk A1 Kim, Jae-Kyeong A1 Hong, Chang Woo A1 Dong, Zhao Yang A1 Hur, Kyeon YR 2022 SN 1944-9933 K1 Forecasting K1 Residual neural networks K1 Wind power generation K1 Telecommunications K1 Predictive models K1 Power grids K1 Biological system modeling SP 1 OP 1 LK http://dx.doi.org/https://doi.org/10.1109/PESGM48719.2022.9916711 DO https://doi.org/10.1109/PESGM48719.2022.9916711 SF ELIB - SuUB Bremen
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