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Tìm được 5 kết quả
nonparametric forecast error density estimators
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
Bộ sưu tập: Metadata
ddc:  656.6
 
Simulating wind power forecast error distributions for spatially aggregated wind power plants [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  621.45
 
Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error [electronic resource]
Tác giả:
Xuất bản: Richland, Wash. : Oak Ridge, Tenn: Pacific Northwest National Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2021
Bộ sưu tập: Metadata
ddc:  333.9
 
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, U.S. Dept. of Energy , 2012
Bộ sưu tập: Metadata
ddc:  621.531
 
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, U.S. Dept. of Energy , 2012
Bộ sưu tập: Metadata
ddc:  621.5
 
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