Trip Energy Estimation Methodology and Model Based on Real-World Driving Data for Green-Routing Applications [electronic resource]
	Tác giả:
	Xuất bản: Washington DC 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 US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  621.3  Thêm vào giỏ

Online Parameter Estimation Methods for Adaptive Cruise Control Systems [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  629.89  Thêm vào giỏ

Network-Scale Ubiquitous Volume Estimation Using Tree-Based Ensemble Learning Methods [electronic resource]
	Tác giả:
	Xuất bản: Washington DC 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 US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  629.2  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 DC 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 US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  629.8  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 DC 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 US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  629.22  Thêm vào giỏ

Bayesian Parameter Estimation for Heavy-Duty Vehicles [electronic resource]
	Tác giả:
	Xuất bản: Washington DC 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 US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  629.28  Thêm vào giỏ

A Bayesian Approach for Estimating Uncertainty in Stochastic Economic Dispatch considering Wind Power Penetration [elect...
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  621.645  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 US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	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 DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Getting more from heterogeneous HIV-1 surveillance data in a high immigration country [electronic resource] : estimation of incidence and undiagnosed population size using multiple biomarkers
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  616.9996  Thêm vào giỏ