Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy (with Discussion) [electronic resource]
	Tác giả:
	Xuất bản: Bethesda Md Oak Ridge Tenn: National Institutes of Health US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  630.5  Thêm vào giỏ

A two-step short-term probabilistic wind forecasting methodology based on predictive distribution optimization [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:  621.822  Thêm vào giỏ

Probabilistic Short-Term Wind Forecasting Based on Pinball Loss Optimization [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, 2018
	Bộ sưu tập: Metadata
	ddc:  333.914  Thêm vào giỏ

Probabilistic Wind Power Ramp Forecasting Based on a Scenario Generation Method [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, 2017
	Bộ sưu tập: Metadata
	ddc:  333.79  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

Storm Tide and Wave Simulations and Assessment
	Tác giả: Shih-Chun Hsiao, Wei-Bo Chen, Wei-Bo Chen, Wen-Son Chiang, Wen-Son Chiang, Shih-Chun Hsiao
	Xuất bản: Basel Switzerland: MDPI Multidisciplinary Digital Publishing Institute, 2021
	Bộ sưu tập: Tài liệu truy cập mở
	eBook (pdf) ddc:   Thêm vào giỏ