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1 Ergebnisse
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MPGCN-OPF: A Message Passing Graph Convolution Approach for..:
, In:
2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
,
Mahto, Dinesh Kumar
;
Saini, Vikash Kumar
;
Mathur, Akhilesh
.. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/PEDES56012.2022.10080112
RT T1 <cTitle>2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)</cTitle>: T1 <Title>MPGCN-OPF: A Message Passing Graph Convolution Approach for Optimal Power Flow for Distribution Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10080112&Exemplar=1&LAN=DE A1 Mahto, Dinesh Kumar A1 Saini, Vikash Kumar A1 Mathur, Akhilesh A1 Kumar, Rajesh A1 Verma, Seema YR 2022 K1 Training K1 Convolution K1 Computational modeling K1 Message passing K1 Simulation K1 Distribution networks K1 Voltage K1 Graph convolution K1 Optimal power flow K1 Distribution network SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/PEDES56012.2022.10080112 DO https://doi.org/10.1109/PEDES56012.2022.10080112 SF ELIB - SuUB Bremen
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