State of Underheating in Georgia and Estimation of Associated Economic Costs
	Tác giả:
	Xuất bản: World Bank, Washington, DC , 2021
	Bộ sưu tập: Tài liệu truy cập mở
	ddc:  975.86  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: Báo, Tạp chí
	ddc:  333.9  Thêm vào giỏ

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: Báo, Tạp chí
	ddc:  621.39  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: Báo, Tạp chí
	ddc:  629.8  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: Báo, Tạp chí
	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: Báo, Tạp chí
	ddc:  629.22  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: Báo, Tạp chí
	ddc:  621.531  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: Báo, Tạp chí
	ddc:  621.531  Thêm vào giỏ

Adaptive stratified importance sampling [electronic resource] : hybridization of extrapolation and importance sampling Monte Carlo methods for estimation of wind turbine extreme loads
	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: Báo, Tạp chí
	ddc:  621.45  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: Báo, Tạp chí
	ddc:  621.4  Thêm vào giỏ