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1
Predicting the Performance of Offshore Wind Farm Using Arti..:
, In:
2022 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE)
,
R, Veena
;
I, Petra M
;
V, Femin
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICUE55325.2022.10113500
RT T1 <cTitle>2022 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE)</cTitle>: T1 <Title>Predicting the Performance of Offshore Wind Farm Using Artificial Intelligence</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10113500&Exemplar=1&LAN=DE A1 R, Veena A1 I, Petra M A1 V, Femin A1 Murugathas, Thanihaichelvan A1 A, Shereen Siddhara A1 S, Sheik Mohammed A1 Mohandas, Prabu YR 2022 K1 Support vector machines K1 Wind speed K1 Artificial neural networks K1 Wind farms K1 Wind power generation K1 Predictive models K1 Wind turbines K1 Climate change K1 Artificial Intelligence K1 Machine Learning K1 Offshore wind farms K1 Wake Analysis K1 Wind power forecast SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICUE55325.2022.10113500 DO https://doi.org/10.1109/ICUE55325.2022.10113500 SF ELIB - SuUB Bremen
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