Generating short-term probabilistic wind power scenarios via nonparametric forecast error density estimators [electronic resource] : Generating short-term probabilistic wind power scenarios via
	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, 2017
	Bộ sưu tập: Metadata
	ddc:  656.6  Thêm vào giỏ

Implementation Scenarios for Electric Vehicle Roadway Wireless Power Transfer; NREL (National Renewable Energy Laboratory) [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, 2015
	Bộ sưu tập: Metadata
	ddc:  621.3846  Thêm vào giỏ

Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing [electronic resource]
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  333.79  Thêm vào giỏ

Variability of Power from Large-Scale Solar Photovoltaic Scenarios in the State of Gujarat [electronic resource] : Preprint
	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, 2014
	Bộ sưu tập: Metadata
	ddc:  333.79  Thêm vào giỏ

Variability of Power from Large-Scale Solar Photovoltaic Scenarios in the State of Gujarat (Presentation) [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, 2014
	Bộ sưu tập: Metadata
	ddc:  333.79  Thêm vào giỏ

The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios [electronic resource]
	Tác giả:
	Xuất bản: Berkeley Calif Oak Ridge Tenn: Lawrence Berkeley National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2010
	Bộ sưu tập: Metadata
	ddc:  621.47  Thêm vào giỏ

Hydrogen Carriers in Carbon Free Data Center [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, 2019
	Bộ sưu tập: Metadata
	ddc:  333.792  Thêm vào giỏ

Scenarios for Deep Carbon Emission Reductions from Electricity by 2050 in Western North America using the Switch Electric Power Sector Planning Model [electronic resource] : California's Carbon
	Tác giả:
	Xuất bản: Berkeley Calif Oak Ridge Tenn: Lawrence Berkeley National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2014
	Bộ sưu tập: Metadata
	ddc:  333.79  Thêm vào giỏ