Thư viện Đại học Công nghệ Tp.HCM

The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds [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

New methods to improve the vertical extrapolation of near-surface offshore wind speeds [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 , 2021
	Bộ sưu tập: Metadata
	ddc: 621.45 Thêm vào giỏ

Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling 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 , 2021
	Bộ sưu tập: Metadata
	ddc: 621.5 Thêm vào giỏ

Sensitivity of turbine-height wind speeds to parameters in planetary boundary-layer and surface-layer schemes in the weather research and forecasting model [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 , 2016
	Bộ sưu tập: Metadata
	ddc: 621.531 Thêm vào giỏ