Wind Integration, Transmission, and Resource Assessment and Characterization Projects, Fiscal Years 2006-2014 [electroni...
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2014
	Bộ sưu tập: Metadata
	ddc:  333.917  Thêm vào giỏ

Real-World PHEV Fuel Economy Prediction [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2011
	Bộ sưu tập: Metadata
	ddc:  621.3  Thêm vào giỏ

Wind Turbine Gearbox Failure Detection Through Cumulative Sum of Multivariate Time Series Data [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.823  Thêm vào giỏ

How Generalizable is a Machine-Learning Approach for Modeling Hub-Height Turbulence Intensity? [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Efficient Loads Surrogates for Waked Turbines in an Array [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Serial-Refine Method for Fast Wake-Steering Yaw Optimization [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  629.13  Thêm vào giỏ

Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple...
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Dynamic inflow and unsteady aerodynamics models for modal and stability analyses in OpenFAST [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.55  Thêm vào giỏ

Comparing wind turbine aeroelastic response predictions for turbines with increasingly flexible blades [electronic resou...
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2022
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ