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1 Ergebnisse
1
Renewable Energy Short Circuit Ratio Prediction Considering..:
, In:
2023 International Conference on Power System Technology (PowerCon)
,
Wei, Yawei
;
Gao, Pengfei
;
Dai, Hongyang
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/PowerCon58120.2023.10331027
RT T1 <cTitle>2023 International Conference on Power System Technology (PowerCon)</cTitle>: T1 <Title>Renewable Energy Short Circuit Ratio Prediction Considering the Renewable Power Area-Based Influence</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10331027&Exemplar=1&LAN=DE A1 Wei, Yawei A1 Gao, Pengfei A1 Dai, Hongyang A1 Zhang, Lei A1 Wu, Qianyu A1 Wang, Yuzhi YR 2023 K1 Training K1 Renewable energy sources K1 Wind speed K1 Predictive models K1 Power system stability K1 Prediction algorithms K1 Data models K1 Renewable energy short circuit ratio K1 LSTM prediction model K1 correlated influence K1 local-area renewable power SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/PowerCon58120.2023.10331027 DO https://doi.org/10.1109/PowerCon58120.2023.10331027 SF ELIB - SuUB Bremen
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