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An Analysis of the Reliability of AC Optimal Power Flow Dee..:
, In:
2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA)
,
Dinh, My H.
;
Fioretto, Ferdinando
;
Mohammadian, Mostafa
. - p. 170-174 , 2023
Link:
https://doi.org/10.1109/ISGT-LA56058.2023.10328223
RT T1 <cTitle>2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA)</cTitle>: T1 <Title>An Analysis of the Reliability of AC Optimal Power Flow Deep Learning Proxies</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10328223&Exemplar=1&LAN=DE A1 Dinh, My H. A1 Fioretto, Ferdinando A1 Mohammadian, Mostafa A1 Baker, Kyri YR 2023 SN 2643-8798 K1 Deep learning K1 Artificial neural networks K1 Predictive models K1 Network architecture K1 Robustness K1 Generators K1 Complexity theory SP 170 OP 174 LK http://dx.doi.org/https://doi.org/10.1109/ISGT-LA56058.2023.10328223 DO https://doi.org/10.1109/ISGT-LA56058.2023.10328223 SF ELIB - SuUB Bremen
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