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1 Ergebnisse
1
Power Quality Time Series Clustering Analysis Based on Symb..:
, In:
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
,
Yu, Hao
;
Zhang, Jian
;
Zhang, Dewen
... - p. 278-281 , 2022
Link:
https://doi.org/10.1109/AUTEEE56487.2022.9994571
RT T1 <cTitle>2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)</cTitle>: T1 <Title>Power Quality Time Series Clustering Analysis Based on Symbolic Feature Representation Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9994571&Exemplar=1&LAN=DE A1 Yu, Hao A1 Zhang, Jian A1 Zhang, Dewen A1 Sun, Haiming A1 He, Yu A1 Zhou, Hongyi A1 Li, Zhongyuan A1 Zhao, Zhimin A1 Yuan, Meishi A1 Shen, Yubo YR 2022 SN 2831-4549 K1 Support vector machines K1 Electrical engineering K1 Analytical models K1 Time series analysis K1 Power quality K1 Fitting K1 Feature extraction K1 PQTS K1 data processing K1 feature extraction K1 symbolic representation K1 clustering analysis SP 278 OP 281 LK http://dx.doi.org/https://doi.org/10.1109/AUTEEE56487.2022.9994571 DO https://doi.org/10.1109/AUTEEE56487.2022.9994571 SF ELIB - SuUB Bremen
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