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Bias Characterization, Vertical Interpolation, and Horizontal Interpolation for Distributed Wind Siting Using Mesoscale Wind Resource Estimates
Dmitry Duplyakin
,
Sagi Zisman
,
Caleb Phillips
, Heidi Tinnesand
Computational Science
National Wind Technology Center
Research output
:
NLR
›
Technical Report
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Dive into the research topics of 'Bias Characterization, Vertical Interpolation, and Horizontal Interpolation for Distributed Wind Siting Using Mesoscale Wind Resource Estimates'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Atmospherics
25%
Compressed Air Motors
25%
Energy Generation
25%
Interpolation
100%
Renewable Energy
25%
Spatial Resolution
25%
Wind Direction
25%
Wind Power
25%
Wind Resources
100%
Wind Velocity
50%
Computer Science
Energy Generation
100%
Spatial Resolution
100%
Temporal Resolution
100%
Validation Dataset
100%
Engineering
Compressed Air Motors
25%
Equipment Manufacturer
25%
Mesoscale
100%
Power Generation
25%
Renewable Energy
25%
Spatial Resolution
25%
Temporal Resolution
25%
Weather Research and Forecasting
25%
Wind Power
25%
Wind Resource
100%