| Wind farm power optimization through wake steering MF Howland, SK Lele, JO Dabiri Proceedings of the National Academy of Sciences 116 (29), 14495-14500, 2019 | 287 | 2019 |
| Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions MF Howland, J Bossuyt, LA Martínez-Tossas, J Meyers, C Meneveau Journal of Renewable and Sustainable Energy 8 (4), 2016 | 273 | 2016 |
| Collective wind farm operation based on a predictive model increases utility-scale energy production MF Howland, JB Quesada, JJP Martinez, FP Larranaga, N Yadav, ... Nature Energy 7, 818–827, 2022 | 79 | 2022 |
| Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment MF Howland, CM González, JJP Martínez, JB Quesada, FP Larranaga, ... Journal of Renewable and Sustainable Energy 12 (6), 2020 | 76* | 2020 |
| Measurement of unsteady loading and power output variability in a micro wind farm model in a wind tunnel J Bossuyt, MF Howland, C Meneveau, J Meyers Experiments in Fluids 58, 1-17, 2017 | 74 | 2017 |
| Wind farm modeling with interpretable physics-informed machine learning MF Howland, JO Dabiri Energies 12 (14), 2716, 2019 | 56 | 2019 |
| Optimal closed-loop wake steering–Part 1: Conventionally neutral atmospheric boundary layer conditions MF Howland, AS Ghate, SK Lele, JO Dabiri Wind Energy Science 5 (4), 1315-1338, 2020 | 54 | 2020 |
| The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows LA Martínez-Tossas, J King, E Quon, CJ Bay, R Mudafort, N Hamilton, ... Wind Energy Science 6 (2), 555-570, 2021 | 41 | 2021 |
| Near-wake structure of full-scale vertical-axis wind turbines NJ Wei, ID Brownstein, JL Cardona, MF Howland, JO Dabiri Journal of Fluid Mechanics 914, A17, 2021 | 36 | 2021 |
| Influence of the geostrophic wind direction on the atmospheric boundary layer flow MF Howland, AS Ghate, SK Lele Journal of Fluid Mechanics 883, A39, 2020 | 35 | 2020 |
| Seeing the wind: Visual wind speed prediction with a coupled convolutional and recurrent neural network J Cardona, M Howland, J Dabiri Advances in Neural Information Processing Systems 32, 2019 | 34 | 2019 |
| Implication of Taylor’s hypothesis on measuring flow modulation XIA Yang, MF Howland Journal of Fluid Mechanics 836, 222-237, 2018 | 30 | 2018 |
| Optimal closed-loop wake steering, part 2: Diurnal cycle atmospheric boundary layer conditions MF Howland, AS Ghate, JB Quesada, JJ Pena Martínez, W Zhong, ... Wind Energy Science Discussions 2021, 1-30, 2021 | 26* | 2021 |
| Dependence of small-scale energetics on large scales in turbulent flows MF Howland, XIA Yang Journal of Fluid Mechanics 852, 641-662, 2018 | 23 | 2018 |
| Modelling the induction, thrust and power of a yaw-misaligned actuator disk KS Heck, HM Johlas, MF Howland Journal of Fluid Mechanics 959, A9, 2023 | 22 | 2023 |
| Influence of the horizontal component of Earth’s rotation on wind turbine wakes MF Howland, AS Ghate, SK Lele Journal of Physics: Conference Series 1037, 072003, 2018 | 19 | 2018 |
| Parameter uncertainty quantification in an idealized GCM with a seasonal cycle MF Howland, ORA Dunbar, T Schneider Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002735, 2022 | 17 | 2022 |
| Influence of wake model superposition and secondary steering on model-based wake steering control with SCADA data assimilation MF Howland, JO Dabiri Energies 14 (1), 52, 2020 | 15 | 2020 |
| Wind farm yaw control set-point optimization under model parameter uncertainty MF Howland Journal of Renewable and Sustainable Energy 13 (4), 043303, 2021 | 13 | 2021 |
| Coriolis effects within and trailing a large finite wind farm MF Howland, AS Ghate, SK Lele AIAA Scitech 2020 Forum, 0994, 2020 | 11 | 2020 |
John O. DabiriCentennial Professor, California Institute of Technology在 caltech.edu 的电子邮件经过验证
