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1 Ergebnisse
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Novel interpretable wake model using Machine Learning based..:
, In:
2023 2nd International Conference on Advanced Electronics, Electrical and Green Energy (AEEGE)
,
Khan, M.A
;
Gajendran, M.K
;
Kabir, I.F.S.A
... - p. 58-63 , 2023
Link:
https://doi.org/10.1109/AEEGE58828.2023.00019
RT T1 <cTitle>2023 2nd International Conference on Advanced Electronics, Electrical and Green Energy (AEEGE)</cTitle>: T1 <Title>Novel interpretable wake model using Machine Learning based symbolic regression for wind turbines</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10308887&Exemplar=1&LAN=DE A1 Khan, M.A A1 Gajendran, M.K A1 Kabir, I.F.S.A A1 Vadivelu, S. A1 Ng, E.Y.K. A1 Mehdizadeh, A. YR 2023 K1 Machine learning K1 Wind turbines K1 Climate change K1 Energy management K1 Fossil fuels K1 Resource management K1 Fuel economy K1 Wind Turbine K1 Wake K1 CFD SP 58 OP 63 LK http://dx.doi.org/https://doi.org/10.1109/AEEGE58828.2023.00019 DO https://doi.org/10.1109/AEEGE58828.2023.00019 SF ELIB - SuUB Bremen
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