Verification of induction zone models for wind farm annual energy production estimation [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:  621.531  Thêm vào giỏ

Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling approa...
	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

WRF Modelling of Deep Convection and Hail for Wind Power Applications [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; 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

Distributed Aerodynamic Control using Active Trailing-Edge Flaps for Large 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:  621.521  Thêm vào giỏ

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

Expert Elicitation on Wind Farm Control [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

An Unsteady Actuator Line Solver to Enable Adjoint Sensitivity Studies for Wake Steering [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:  621.521  Thêm vào giỏ

Code-to-code-to-experiment validation of LES-ALM wind farm simulators [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

A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines [electr...
	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

Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; 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