Works matching IS 23667443 AND DT 2024 AND VI 9 AND IP 6
Results: 9
Machine-learning-based estimate of the wind speed over complex terrain using the long short-term memory (LSTM) recurrent neural network.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1431, doi. 10.5194/wes-9-1431-2024
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- Article
The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1419, doi. 10.5194/wes-9-1419-2024
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- Article
Assessing the impact of waves and platform dynamics on floating wind-turbine energy production.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1393, doi. 10.5194/wes-9-1393-2024
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- Article
Simulating low-frequency wind fluctuations.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1381, doi. 10.5194/wes-9-1381-2024
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- Article
Improvements to the dynamic wake meandering model by incorporating the turbulent Schmidt number.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1363, doi. 10.5194/wes-9-1363-2024
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- Article
Operation and maintenance cost comparison between 15 MW direct-drive and medium-speed offshore wind turbines.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1345, doi. 10.5194/wes-9-1345-2024
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- Article
Swinging motion of a kite with suspended control unit flying turning manoeuvres.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1323, doi. 10.5194/wes-9-1323-2024
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- Article
An actuator sector model for wind power applications: a parametric study.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1305, doi. 10.5194/wes-9-1305-2024
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- Article
A sensitivity-based estimation method for investigating control co-design relevance.
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- Wind Energy Science, 2024, v. 9, n. 6, p. 1289, doi. 10.5194/wes-9-1289-2024
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- Article