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1 Ergebnisse
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Deep learning model to detect various synchrophasor data an..:
Deng, Xianda
;
Bian, Desong
;
Wang, Weikang
...
IET Generation, Transmission & Distribution. 14 (2020) 24 - p. 5739-5745 , 2020
Link:
https://doi.org/10.1049/iet-gtd.2020.0526
RT Journal T1 <Title>Deep learning model to detect various synchrophasor data anomalies</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1049_iet-gtd.2020.0526&Exemplar=1&LAN=DE A1 Deng, Xianda A1 Bian, Desong A1 Wang, Weikang A1 Jiang, Zhihao A1 Yao, Wenxuan A1 Qiu, Wei A1 Tong, Ning A1 Shi, Di A1 Liu, Yilu PB Institution of Engineering and Technology (IET) YR 2020 SN 1751-8687 SN 1751-8695 JF IET Generation, Transmission & Distribution VO 14 IS 24 SP 5739 OP 5745 LK http://dx.doi.org/https://doi.org/10.1049/iet-gtd.2020.0526 DO https://doi.org/10.1049/iet-gtd.2020.0526 SF ELIB - SuUB Bremen
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