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 | 40 | 2020 |
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 | 25 | 2020 |
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 | 16 | 2020 |
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 | 15 | 2022 |
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 | 15 | 2022 |
Active tip deflection control for wind turbines J Liew, WH Lio, AM Urbán, J Holierhoek, T Kim Renewable energy 149, 445-454, 2020 | 15 | 2020 |
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 | 14 | 2022 |
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 | 14 | 2022 |
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 | 12 | 2020 |
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 | 12 | 2019 |
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 | 6 | 2023 |
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 | 6 | 2020 |
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 | 6 | 2019 |
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 | 3 | 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 | 3 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2022 |
Dynamic modelling of wind farms for closed-loop control J Liew DTU Wind and Energy Systems, 2022 | 1 | 2022 |
Wind Farm Control Optimisation Under Load Constraints Via Surrogate Modelling J Liew, R Riva, M Friis-Møller, T Göçmen Journal of Physics: Conference Series 2767 (9), 092039, 2024 | | 2024 |
Investigation of far-wake models coupled with yaw-induction control for power optimization KS Heck, J Liew, MF Howland Journal of Physics: Conference Series 2767 (9), 092103, 2024 | | 2024 |