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1 Ergebnisse
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A graph attention networks-based model to distinguish the t..:
Zhang, Runfeng
;
Yao, Wei
;
Shi, Zhongtuo
...
International Journal of Electrical Power & Energy Systems. 137 (2022) - p. 107783 , 2022
Link:
https://doi.org/10.1016/j.ijepes.2021.107783
RT Journal T1 <Title>A graph attention networks-based model to distinguish the transient rotor angle instability and short-term voltage instability in power systems</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijepes.2021.107783&Exemplar=1&LAN=DE A1 Zhang, Runfeng A1 Yao, Wei A1 Shi, Zhongtuo A1 Zeng, Lingkang A1 Tang, Yong A1 Wen, Jinyu PB Elsevier BV YR 2022 SN 0142-0615 JF International Journal of Electrical Power & Energy Systems VO 137 SP 107783 LK http://dx.doi.org/https://doi.org/10.1016/j.ijepes.2021.107783 DO https://doi.org/10.1016/j.ijepes.2021.107783 SF ELIB - SuUB Bremen
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