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Tìm được 137 kết quả
How Generalizable is a Machine-Learning Approach for Modeling Hub-Height Turbulence Intensity? [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, 2022
Bộ sưu tập: Metadata
ddc:  621.531
 
Turbine scale and siting considerations in wind plant layout optimization and implications for capacity density [electro...
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, 2022
Bộ sưu tập: Metadata
ddc:  621.531
 
Characterizing forecastability of wind sites in the United States [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
 
Texturizing Wind Turbine Towers to Reduce Bat Mortality [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
 
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
 
Enrichment methods for inflow turbulence generation in the atmospheric boundary layer [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
 
Phase 1 Integrated Systems Test and Characterization Report for the 5-Megawatt Dynamometer and Controllable Grid Interfa...
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
 
A Validation and Code-to-Code Verification of FAST for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blade...
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:  621.531
 
Decentralized State Estimation and Remedial Control Action for Minimum Wind Curtailment Using Distributed Computing Plat...
Tác giả:
Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  621.531
 
Probability of Detection Study to Assess the Performance of Nondestructive Inspection Methods for Wind Turbine Blades. [...
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:  621.531
 
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