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Research on cascading fault early warning model of low volt..:
, In:
2022 China International Conference on Electricity Distribution (CICED)
,
Hu, Guirong
;
Wu, Yi
;
Zhou, Tie
. - p. 1322-1326 , 2022
Link:
https://doi.org/10.1109/CICED56215.2022.9928922
RT T1 <cTitle>2022 China International Conference on Electricity Distribution (CICED)</cTitle>: T1 <Title>Research on cascading fault early warning model of low voltage distribution network based on the brittleness theory of complex system</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9928922&Exemplar=1&LAN=DE A1 Hu, Guirong A1 Wu, Yi A1 Zhou, Tie A1 Liu, Ji YR 2022 SN 2161-749X K1 Fault diagnosis K1 Low voltage K1 Analytical models K1 Distribution networks K1 Maintenance engineering K1 Entropy K1 Power systems K1 Brittleness theory of complex system K1 Cascading failure K1 Early warning model K1 Brittle factor K1 Brittle event SP 1322 OP 1326 LK http://dx.doi.org/https://doi.org/10.1109/CICED56215.2022.9928922 DO https://doi.org/10.1109/CICED56215.2022.9928922 SF ELIB - SuUB Bremen
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