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1 Ergebnisse
1
Deep Integration and Learning of Measurement Data in Active..:
, In:
2023 IEEE 6th International Electrical and Energy Conference (CIEEC)
,
Diao, Ruisheng
;
Zhou, Aihua
;
Zeng, Ruiyuan
... - p. 3541-3545 , 2023
Link:
https://doi.org/10.1109/CIEEC58067.2023.10166257
RT T1 <cTitle>2023 IEEE 6th International Electrical and Energy Conference (CIEEC)</cTitle>: T1 <Title>Deep Integration and Learning of Measurement Data in Active Distribution Power Networks for Load Flow Estimation Considering Incomplete Information</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10166257&Exemplar=1&LAN=DE A1 Diao, Ruisheng A1 Zhou, Aihua A1 Zeng, Ruiyuan A1 Wang, Anqi A1 Shen, Xiaofeng A1 Shun, Jingde A1 Gu, Hua YR 2023 K1 Adaptation models K1 Renewable energy sources K1 Power measurement K1 Power system dynamics K1 Stochastic processes K1 Robustness K1 Power grids K1 active distribution network K1 DNN K1 incomplete information K1 power flow solution SP 3541 OP 3545 LK http://dx.doi.org/https://doi.org/10.1109/CIEEC58067.2023.10166257 DO https://doi.org/10.1109/CIEEC58067.2023.10166257 SF ELIB - SuUB Bremen
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