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1 Ergebnisse
1
Revolutionizing Wind Energy: A Enhanced Machine Learning Pe..:
, In:
2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
,
Anurag
;
Choudhary, Chahil
;
Thakur, Jatin
... - p. 1763-1769 , 2023
Link:
https://doi.org/10.1109/ICACRS58579.2023.10404768
RT T1 <cTitle>2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)</cTitle>: T1 <Title>Revolutionizing Wind Energy: A Enhanced Machine Learning Perspective on Wind Turbines Fault Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10404768&Exemplar=1&LAN=DE A1 Anurag A1 Choudhary, Chahil A1 Thakur, Jatin A1 Bhardwaj, Himanshu A1 Haq, Inam Ul A1 Rather, Adil Husain YR 2023 K1 Renewable energy sources K1 Wind energy K1 Support vector machine classification K1 Static VAr compensators K1 Wind turbines K1 Reliability K1 Wind forecasting K1 Wind Turbines K1 ML K1 Algorithms K1 FDD (Fault Detection and Diagnosis) K1 Ensemble SP 1763 OP 1769 LK http://dx.doi.org/https://doi.org/10.1109/ICACRS58579.2023.10404768 DO https://doi.org/10.1109/ICACRS58579.2023.10404768 SF ELIB - SuUB Bremen
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