Works matching IS 10954244 AND DT 2024 AND VI 27 AND IP 11
Results: 20
Predicting wind farm operations with machine learning and the P2D‐RANS model: A case study for an AWAKEN site.
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- Wind Energy, 2024, v. 27, n. 11, p. 1245, doi. 10.1002/we.2874
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The Impact of LIDAR‐Assisted Pitch Control on Floating Offshore Wind Operational Expenditure.
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- Wind Energy, 2024, v. 27, n. 11, p. 1450, doi. 10.1002/we.2951
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Bayesian Optimisation of a Two‐Turbine Configuration Around a 2D Hill Using Large Eddy Simulations.
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- Wind Energy, 2024, v. 27, n. 11, p. 1412, doi. 10.1002/we.2946
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Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares.
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- Wind Energy, 2024, v. 27, n. 11, p. 1173, doi. 10.1002/we.2852
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A Study of the Near Wake Deformation of the X‐Rotor Vertical‐Axis Wind Turbine With Pitched Blades.
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- Wind Energy, 2024, v. 27, n. 11, p. 1388, doi. 10.1002/we.2944
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Implementation and Validation of a Generalized Actuator Disk Parameterization for Wind Turbine Simulations Within the FastEddy Model.
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- Wind Energy, 2024, v. 27, n. 11, p. 1353, doi. 10.1002/we.2941
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Life Cycle Assessment of Additively Manufactured Foundations for Ultratall Wind Turbine Towers.
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- Wind Energy, 2024, v. 27, n. 11, p. 1427, doi. 10.1002/we.2947
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Coupling wind LiDAR fixed and volumetric scans for enhanced characterization of wind turbulence and flow three‐dimensionality.
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- Wind Energy, 2024, v. 27, n. 11, p. 1229, doi. 10.1002/we.2865
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Wind Speed‐Up in Wind Farm Wakes Quantified From Satellite SAR and Mesoscale Modeling.
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- Wind Energy, 2024, v. 27, n. 11, p. 1369, doi. 10.1002/we.2943
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Characterizing the Atmospheric Boundary Layer for Offshore Wind Energy Using Synthetic Aperture Radar Imagery.
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- Wind Energy, 2024, v. 27, n. 11, p. 1340, doi. 10.1002/we.2933
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Advanced wind turbine control development using field test analysis for generator overspeed mitigation.
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- Wind Energy, 2024, v. 27, n. 11, p. 1188, doi. 10.1002/we.2860
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Probabilistic treatment of IEC 61400‐1 standard based extreme wind events.
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- Wind Energy, 2024, v. 27, n. 11, p. 1319, doi. 10.1002/we.2914
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A dynamic model of wind turbine yaw for active farm control.
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- Wind Energy, 2024, v. 27, n. 11, p. 1302, doi. 10.1002/we.2884
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Optimal operating points for wind turbine control and co‐design.
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- Wind Energy, 2024, v. 27, n. 11, p. 1286, doi. 10.1002/we.2879
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Profiling wind LiDAR measurements to quantify blockage for onshore wind turbines.
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- Wind Energy, 2024, v. 27, n. 11, p. 1268, doi. 10.1002/we.2877
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A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool.
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- Wind Energy, 2024, v. 27, n. 11, p. 1152, doi. 10.1002/we.2844
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Robust multi‐loop control of a floating wind turbine.
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- Wind Energy, 2024, v. 27, n. 11, p. 1205, doi. 10.1002/we.2864
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Issue Information.
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- Wind Energy, 2024, v. 27, n. 11, p. 1111, doi. 10.1002/we.2838
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- Article
New insights on wind turbine wakes from large‐eddy simulation: Wake contraction, dual nature, and temperature effects.
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- Wind Energy, 2024, v. 27, n. 11, p. 1130, doi. 10.1002/we.2827
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Sliding mesh simulations of a wind turbine rotor with actuator line lattice‐Boltzmann method.
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- Wind Energy, 2024, v. 27, n. 11, p. 1115, doi. 10.1002/we.2821
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- Article