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Jaime Liew
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Year
Analytical model for the power–yaw sensitivity of wind turbines operating in full wake
J Liew, AM Urbán, SJ Andersen
Wind Energy Science 5 (1), 427-437, 2020
332020
Wind farm layout optimization with load constraints using surrogate modelling
R Riva, J Liew, M Friis-Møller, N Dimitrov, E Barlas, PE Réthoré, ...
Journal of Physics: Conference Series 1618 (4), 042035, 2020
232020
Streaming dynamic mode decomposition for short‐term forecasting in wind farms
J Liew, T Göçmen, WH Lio, GC Larsen
Wind Energy 25 (4), 719-734, 2022
152022
Yaw induced wake deflection-a full-scale validation study
GC Larsen, S Ott, J Liew, MP van der Laan, E Simon, GR Thorsen, ...
Journal of Physics: Conference Series 1618 (6), 062047, 2020
142020
Active tip deflection control for wind turbines
J Liew, WH Lio, AM Urbán, J Holierhoek, T Kim
Renewable energy 149, 445-454, 2020
142020
Farmconners wind farm flow control benchmark: Blind test results
T Göçmen, F Campagnolo, T Duc, I Eguinoa, SJ Andersen, V Petrović, ...
Wind Energy Science Discussions 2022, 1-69, 2022
122022
Model-free estimation of available power using deep learning
T Göçmen, A Meseguer Urbán, J Liew, AWH Lio
Wind Energy Science 6 (1), 111-129, 2021
112021
The effect of minimum thrust coefficient control strategy on power output and loads of a wind farm
F Meng, AWH Lio, J Liew
Journal of Physics: Conference Series 1452 (1), 012009, 2020
112020
LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis
J Liew, SJ Andersen, N Troldborg, T Göçmen
Journal of Physics: Conference Series 2265 (2), 022069, 2022
92022
How does the quantity, resolution, and scaling of turbulence boxes affect aeroelastic simulation convergence?
J Liew, GC Larsen
Journal of Physics: Conference Series 2265 (3), 032049, 2022
92022
Effect of varying fidelity turbine models on wake loss prediction
J Liew, GR Pirrung, AM Urbán
Journal of Physics: Conference Series 1618 (6), 062002, 2020
62020
The effect of wake position and yaw misalignment on power loss in wind turbines
AM Urbán, J Liew, E Dellwik, GC Larsen
Journal of Physics: Conference Series 1222 (1), 012002, 2019
52019
Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares
J Liew, T Göçmen, WH Lio, GC Larsen
Wind Energy, 2023
32023
Extending the Dynamic Wake Meandering Model in HAWC2Farm: Lillgrund Wind Farm Case Study and Validation
J Liew, T Göçmen, AWH Lio, GC Larsen
Wind Energy Science Discussions 2023, 1-25, 2023
22023
Dynamic wake tracking based on wind turbine rotor loads and Kalman filtering
D Onnen, GC Larsen, WH Lio, JY Liew, M Kühn, V Petrović
Journal of Physics: Conference Series 2265 (2), 022024, 2022
22022
Unified Momentum Model for Rotor Aerodynamics Across Operating Regimes
J Liew, KS Heck, MF Howland
arXiv preprint arXiv:2401.09623, 2024
2024
Efficient Mann turbulence generation for offshore wind farms with applications in fatigue load surrogate modelling
J Liew, R Riva, T Göçmen
Journal of Physics: Conference Series 2626 (1), 012050, 2023
2023
Extending the dynamic wake meandering model in HAWC2Farm: a comparison with field measurements at the Lillgrund wind farm
J Liew, T Göçmen, AWH Lio, GC Larsen
Wind Energy Science 8 (9), 1387-1402, 2023
2023
Dynamic modelling of wind farms for closed-loop control
J Liew
DTU Wind and Energy Systems, 2022
2022
Model-free Estimation of Available Power using Deep Learning
T Göçmen, J Liew, A Meseguer Urban, AWH Lio
Wind Energy Science Discussions 2019, 1-29, 2019
2019
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