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51-60 trong số 110 kết quả
Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling approa...
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, 2021
Bộ sưu tập: Metadata
ddc:  621.5
 
WRF Modelling of Deep Convection and Hail for Wind Power Applications [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  621.5
 
Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning [electronic resource]
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, 2020
Bộ sưu tập: Metadata
ddc:  621.5
 
Atmospheric condition identification in multivariate data through a metric for total variation [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, 2020
Bộ sưu tập: Metadata
ddc:  621.5
 
ExaWind [electronic resource] : A multifidelity modeling and simulation environment for wind energy
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, 2020
Bộ sưu tập: Metadata
ddc:  621.5
 
Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development [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
 
Analysis of blade fragment risk at a wind energy facility [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
 
Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Fl...
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:  621.5
 
Using Large-Eddy Simulations to Define Spectral and Coherence Characteristics of the Hurricane Boundary Layer for Wind-E...
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:  621.5
 
Results of the GABLS3 diurnal-cycle benchmark for wind energy applications [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, 2017
Bộ sưu tập: Metadata
ddc:  621.5
 

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