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1 Ergebnisse
1
Multi-Step Prediction Method of Short-Term Wind Power based..:
, In:
2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
,
Li, Tong
;
Wang, Jiang
;
Gong, Bo
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/I2MTC60896.2024.10561199
RT T1 <cTitle>2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)</cTitle>: T1 <Title>Multi-Step Prediction Method of Short-Term Wind Power based on CTAR Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10561199&Exemplar=1&LAN=DE A1 Li, Tong A1 Wang, Jiang A1 Gong, Bo A1 Wang, Kuanchuan A1 Liu, Weitong A1 Chang, Siyuan YR 2024 SN 2642-2077 K1 Accuracy K1 Computational modeling K1 Neural networks K1 Wind power generation K1 Predictive models K1 Power system stability K1 Transformers K1 Wind power prediction K1 CNNs K1 Transformer K1 AR model K1 Hybrid model SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2MTC60896.2024.10561199 DO https://doi.org/10.1109/I2MTC60896.2024.10561199 SF ELIB - SuUB Bremen
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