How accurate is a machine learning-based wind speed extrapolation under a round-robin approach? [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Continued results from a field campaign of wake steering applied at a commercial wind farm ? Part 2 [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  333.932  Thêm vào giỏ

Investigation of the nacelle blockage effect for a downwind turbine [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Validation of Combined Analytical Methods to Predict Slip in Cylindrical Roller Bearings [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.8  Thêm vào giỏ

The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds [el...
	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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Design and analysis of a wake steering controller with wind direction variability [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.48  Thêm vào giỏ

Atmospheric condition identification in multivariate data through a metric for total variation [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

The Power Curve Working Group's assessment of wind turbine power performance prediction methods [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Hurricane eyewall winds and structural response of wind turbines [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 , 2020
	Bộ sưu tập: Metadata
	ddc:  621.547  Thêm vào giỏ

Classification of the Reynolds stress anisotropy tensor in very large thermally stratified wind farms using colormap ima...
	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 , 2019
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ