Using Machine Learning to Create Turbine Performance Models (Presentation) [electronic resource]
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2013
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Radar-cross-section reduction of wind turbines. part 1. [electronic resource]
	Tác giả:
	Xuất bản: Albuquerque NM Oak Ridge Tenn: Sandia National Laboratories Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2012
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Trailing edge cooling using angled impingement on surface enhanced with cast chevron arrangements [electronic resource]
	Tác giả:
	Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2015
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

System Modeling Frameworks for Wind Turbines and Plants [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Effects of Inflow Spatiotemporal Discretization on Wake Meandering and Turbine Structural Response using FAST.Farm [elec...
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

High-order methods for wind turbine simulations and moving to next-generation platforms [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Wind Plant Modeling and Simulation [electronic resource] : The Amazing Interrelationships of Physics and Engineering in ...
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Data-Driven Machine Learning for Wind Plant Flow Modeling [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Evaluating Tilt for Wind Farms [electronic resource] : Preprint
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Torsional Vibration in the National Wind Technology Center?s 2.5-Megawatt Dynamometer [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ