Ryan N. King
Cited by
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Optimization under uncertainty for wake steering strategies
J Quick, J Annoni, R King, K Dykes, P Fleming, A Ning
J. Phys. Conf. Ser 854, 012036, 2017
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
From deep to physics-informed learning of turbulence: Diagnostics
R King, O Hennigh, A Mohan, M Chertkov
arXiv preprint arXiv:1810.07785, 2018
Optimization of wind plant layouts using an adjoint approach
RN King, K Dykes, P Graf, PE Hamlington
Wind Energy Science (Online) 2 (NREL/JA-2C00-67162), 2017
Autonomic closure for turbulence simulations
RN King, PE Hamlington, WJA Dahm
Physical Review E 93 (3), 031301, 2016
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
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
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
Autonomic subgrid-scale closure for large eddy simulations
R King, PE Hamlington, W Dahm
53rd AIAA Aerospace Sciences Meeting, 1285, 2015
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, 1-22, 2020
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
Data-Driven Machine Learning for Wind Plant Flow Modeling
RN King, C Adcock, J Annoni, KL Dykes
Journal of Physics. Conference Series 1037 (NREL/JA-2C00-71454), 2018
Data-driven wind farm optimization incorporating effects of turbulence intensity
C Adcock, RN King
2018 Annual American Control Conference (ACC), 695-700, 2018
Understanding Biases in Pre-Construction Estimates
M Lunacek, M Jason Fields, A Craig, JCY Lee, J Meissner, C Philips, ...
J. Phys. Conf. Ser 1037, 062009, 2018
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 (2018), 2018
A sensorless virtual slave control scheme for Kinematically dissimilar master-slave teleoperation
E Del Sol, R Scott, R King, K KERSHAW
Proceedings of HOTLAB, 2012
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
Active subspaces for wind plant surrogate modeling
R King, J Quick, C Adcock, K Dykes
2018 Wind Energy Symposium, 2019, 2018
Adjoint optimization of wind farm layouts for systems engineering analysis
R King, P Hamlington, K Dykes, P Graf
34th Wind Energy Symposium, 2199, 2016
Multifidelity Uncertainty Quantification with Applications in Wind Turbine Aerodynamics
J Quick, PE Hamlington, R King, MA Sprague
AIAA Scitech 2019 Forum, 0542, 2019
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