Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty [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:  621.47  Thêm vào giỏ

Decentralized wind uncertainty management [electronic resource] : Alternating direction method of multipliers based distributionally-robust chance constrained optimal power flow
	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:  621.45  Thêm vào giỏ

A New Framework for Quantifying Lidar Uncertainty [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, 2017
	Bộ sưu tập: Metadata
	ddc:  621.47  Thêm vào giỏ

Perceived Uncertainty Sources in Wind Power Plant Design [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, 2018
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Uncertainty quantification in the analyses of operational wind power plant performance [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, 2018
	Bộ sưu tập: Metadata
	ddc:  621.44  Thêm vào giỏ

A Bayesian Approach for Estimating Uncertainty in Stochastic Economic Dispatch considering Wind Power Penetration [electronic resource]
	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

A Monte Carlo-Based Approach to Assessing Annual Energy Production and Uncertainty [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, 2018
	Bộ sưu tập: Metadata
	ddc:  621.31  Thêm vào giỏ

Analysis of Variability and Uncertainty in Wind Power Forecasting [electronic resource] : An International Comparison (Presentation)
	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, 2013
	Bộ sưu tập: Metadata
	ddc:  333.83  Thêm vào giỏ

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

Analyzing Effects of Turbulence on Power Generation Using Wind Plant Monitoring Data [electronic resource] : Preprint
	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, 2014
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ