The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant. [electronic
	Tác giả:
	Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2012
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant. [electronic
	Tác giả:
	Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2012
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error [electron...
	Tác giả:
	Xuất bản: Richland Wash Oak Ridge Tenn: Pacific Northwest National Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  333.9  Thêm vào giỏ

Learning from the Past, Looking to the Future [electronic resource] : Modeling Social Unrest in Karachi, Pakistan
	Tác giả:
	Xuất bản: Richland Wash Oak Ridge Tenn: Pacific Northwest National Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2014
	Bộ sưu tập: Metadata
	ddc:  630.  Thêm vào giỏ

How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Healthcare Needs of the State [el...
	Tác giả:
	Xuất bản: Los Alamos NM Oak Ridge Tenn: Los Alamos National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  614.1  Thêm vào giỏ

Data-Driven Disease Forecasting [electronic resource]
	Tác giả:
	Xuất bản: Los Alamos NM Oak Ridge Tenn: Los Alamos National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  614.5  Thêm vào giỏ

The Verification and Validation Strategy Within the Second Wind Forecast Improvement Project (WFIP 2) [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:  621.5  Thêm vào giỏ

A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast [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:  621.531  Thêm vào giỏ

Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation [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

A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps [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:  333.912  Thêm vào giỏ