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Ryan N. King
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Adversarial super-resolution of climatological wind and solar data
K Stengel, A Glaws, D Hettinger, RN King
Proceedings of the National Academy of Sciences 117 (29), 16805-16815, 2020
1602020
Controls-oriented model for secondary effects of wake steering
J King, P Fleming, R King, LA Martínez-Tossas, CJ Bay, R Mudafort, ...
Wind Energy Science Discussions 2020, 1-22, 2020
912020
Optimization under uncertainty for wake steering strategies
J Quick, J Annoni, R King, K Dykes, P Fleming, A Ning
Journal of physics: Conference series 854 (1), 012036, 2017
652017
Deep learning for presumed probability density function models
MTH de Frahan, S Yellapantula, R King, MS Day, RW Grout
Combustion and Flame 208, 436-450, 2019
642019
Optimization of wind plant layouts using an adjoint approach
RN King, K Dykes, P Graf, PE Hamlington
Wind Energy Science 2 (1), 115-131, 2017
592017
From deep to physics-informed learning of turbulence: Diagnostics
R King, O Hennigh, A Mohan, M Chertkov
arXiv preprint arXiv:1810.07785, 2018
582018
Deep learning for in situ data compression of large turbulent flow simulations
A Glaws, R King, M Sprague
Physical Review Fluids 5 (11), 114602, 2020
522020
Sensitivity analysis of wind plant performance to key turbine design parameters: a systems engineering approach
K Dykes, A Ning, R King, P Graf, G Scott, PS Veers
32nd ASME Wind Energy Symposium, 1087, 2014
462014
Opportunities for research and development of hybrid power plants
K Dykes, J King, N DiOrio, R King, V Gevorgian, D Corbus, N Blair, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020
422020
Autonomic closure for turbulence simulations
RN King, PE Hamlington, WJA Dahm
Physical Review E 93 (3), 031301, 2016
372016
Wake steering optimization under uncertainty
J Quick, J King, RN King, PE Hamlington, K Dykes
Wind Energy Science 5 (1), 413-426, 2020
332020
Bi-fidelity modeling of uncertain and partially unknown systems using deeponets
S De, M Reynolds, M Hassanaly, RN King, A Doostan
arXiv preprint arXiv:2204.00997, 2022
302022
Cardiopulmonary fitness is strongly associated with body cell mass and fat‐free mass: The Study of Health in Pomerania (SHIP)
A Köhler, R King, M Bahls, S Groß, A Steveling, S Gärtner, S Schipf, ...
Scandinavian journal of medicine & science in sports 28 (6), 1628-1635, 2018
302018
Effect of tip-speed constraints on the optimized design of a wind turbine
K Dykes, B Resor, A Platt, Y Guo, A Ning, R King, T Parsons, D Petch, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2014
282014
A systems engineering analysis of three‐point and four‐point wind turbine drivetrain configurations
Y Guo, T Parsons, K Dykes, RN King
Wind Energy 20 (3), 537-550, 2017
272017
Analytical Formulation for Sizing and Estimating the Dimensions and Weight of Wind Turbine Hub and Drivetrain Components
Y Guo, T Parsons, R King, K Dykes, P Veers
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2015
232015
A systematic approach to offshore wind turbine jacket predesign and optimization: geometry, cost, and surrogate structural code check models
J Häfele, RR Damiani, RN King, CG Gebhardt, R Rolfes
Wind Energy Science 3 (2), 553-572, 2018
172018
Adversarial sampling of unknown and high-dimensional conditional distributions
M Hassanaly, A Glaws, K Stengel, RN King
Journal of Computational Physics 450, 110853, 2022
162022
Data-driven wind farm optimization incorporating effects of turbulence intensity
C Adcock, RN King
2018 Annual American Control Conference (ACC), 695-700, 2018
162018
Invertible neural networks for airfoil design
A Glaws, RN King, G Vijayakumar, S Ananthan
AIAA journal 60 (5), 3035-3047, 2022
152022
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