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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
 
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
 
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
 
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
 
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
 
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
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ddc: 
 
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