Ubiquitous Traffic Volume Estimation through Machine Learning Procedure [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary 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:  621.39  Thêm vào giỏ

A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based 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:  621.531  Thêm vào giỏ

Investigating Marine Boundary Layer Parameterizations by Combining Observations with Models via State 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 , 2015
	Bộ sưu tập: Metadata
	ddc:  333.9  Thêm vào giỏ

Trip Energy Estimation Methodology and Model Based on Real-World Driving Data for Green Routing Applications [electronic resource] : Preprint
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
	Bộ sưu tập: Metadata
	ddc:  629.8  Thêm vào giỏ

Decentralized State Estimation and Remedial Control Action for Minimum Wind Curtailment Using Distributed Computing Platform [electronic resource]
	Tác giả:
	Xuất bản: Oak Ridge, Tenn: Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Trip Energy Estimation Methodology and Model Based on Real-World Driving Data for Green-Routing Applications [electronic resource]
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
	Bộ sưu tập: Metadata
	ddc:  621.3  Thêm vào giỏ

Development of a Trip Energy Estimation Model Using Real-World Global Positioning System Driving Data [electronic resource] : Preprint
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
	Bộ sưu tập: Metadata
	ddc:  629.22  Thêm vào giỏ

Load Estimation of Offshore 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 , 2018
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Wind characteristics probability density estimation [electronic resource]
	Tác giả:
	Xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn: Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2012
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Data-driven fuel consumption estimation [electronic resource] : A multivariate adaptive regression spline approach
	Tác giả:
	Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
	Bộ sưu tập: Metadata
	ddc:  621.4  Thêm vào giỏ