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1 Ergebnisse
1
Maximum Power Tracking for Low Frequency Offshore Wind Farm..:
, In:
2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
,
Zhou, Qian
;
Zhu, Dandan
;
Li, Yibo
... - p. 452-456 , 2023
Link:
https://doi.org/10.1109/ICPSAsia58343.2023.10294816
RT T1 <cTitle>2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)</cTitle>: T1 <Title>Maximum Power Tracking for Low Frequency Offshore Wind Farm Based on Wind Speed Prediction by Convolutional Neural Network Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10294816&Exemplar=1&LAN=DE A1 Zhou, Qian A1 Zhu, Dandan A1 Li, Yibo A1 Jiang, Yafeng A1 Wu, Qiuwei A1 Chen, Jian YR 2023 K1 Time-frequency analysis K1 Wind energy K1 Wind speed K1 Rotors K1 Wind farms K1 Prediction algorithms K1 Wind turbines K1 low-frequency wind farm K1 power-frequency model K1 CNN K1 operating frequency K1 the maximum power tracking SP 452 OP 456 LK http://dx.doi.org/https://doi.org/10.1109/ICPSAsia58343.2023.10294816 DO https://doi.org/10.1109/ICPSAsia58343.2023.10294816 SF ELIB - SuUB Bremen
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