Ryan N. King
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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
402017
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
342014
From deep to physics-informed learning of turbulence: Diagnostics
R King, O Hennigh, A Mohan, M Chertkov
arXiv preprint arXiv:1810.07785, 2018
322018
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
322017
Autonomic closure for turbulence simulations
RN King, PE Hamlington, WJA Dahm
Physical Review E 93 (3), 031301, 2016
262016
Control-oriented model for secondary effects of wake steering
J King, P Fleming, R King, LA Martínez-Tossas, CJ Bay, R Mudafort, ...
Wind Energy Science 6 (3), 701-714, 2021
212021
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
182020
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
182019
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
162017
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
152014
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
122015
Autonomic subgrid-scale closure for large eddy simulations
R King, PE Hamlington, W Dahm
53rd AIAA Aerospace Sciences Meeting, 1285, 2015
112015
Data-driven wind farm optimization incorporating effects of turbulence intensity
C Adcock, RN King
2018 Annual American Control Conference (ACC), 695-700, 2018
92018
Understanding Biases in Pre-Construction Estimates
M Lunacek, MJ Fields, A Craig, JCY Lee, J Meissner, C Philips, S Sheng, ...
Journal of Physics: Conference Series 1037 (6), 062009, 2018
82018
Data-driven machine learning for wind plant flow modeling
RN King, C Adcock, J Annoni, K Dykes
Journal of Physics: Conference Series 1037 (7), 072004, 2018
82018
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
52018
Active subspaces for wind plant surrogate modeling
R King, J Quick, C Adcock, K Dykes
2018 Wind Energy Symposium, 2019, 2018
52018
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
42020
Wake steering optimization under uncertainty
J Quick, J King, RN King, PE Hamlington, K Dykes
Wind Energy Science 5 (1), 413-426, 2020
42020
Ventricular and supraventricular ectopy in subjects with early repolarization
T Trenkwalder, R King, BM Kaess, C Hengstenberg, H Schunkert, ...
The American journal of cardiology 120 (1), 92-97, 2017
42017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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