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1 Ergebnisse
1
Refinement Generation Method of Renewable Energy Scenario B..:
, In:
2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE)
,
Zhao, Zhenyu
;
Zhao, Chuan
;
Li, Xiangyong
... - p. 13-16 , 2023
Link:
https://doi.org/10.1109/EPEE59859.2023.10351836
RT T1 <cTitle>2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE)</cTitle>: T1 <Title>Refinement Generation Method of Renewable Energy Scenario Based on Information Maximizing Generative Adversarial Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10351836&Exemplar=1&LAN=DE A1 Zhao, Zhenyu A1 Zhao, Chuan A1 Li, Xiangyong A1 Chen, Zongyuan A1 Pan, Zhenning A1 Liu, Shuangquan YR 2023 K1 Renewable energy sources K1 Codes K1 Uncertainty K1 Power system stability K1 Probabilistic logic K1 Generative adversarial networks K1 Mathematical models K1 renewable energy output K1 uncertainty K1 information maximizing generative adversarial network K1 renewable energy scenarios K1 refined generation SP 13 OP 16 LK http://dx.doi.org/https://doi.org/10.1109/EPEE59859.2023.10351836 DO https://doi.org/10.1109/EPEE59859.2023.10351836 SF ELIB - SuUB Bremen
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