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Guide to Using the WIND Toolkit Validation Code
Caroline Draxl
, Wil Lieberman-Cribbin
, Andrew Clifton
National Wind Technology Center
Power Systems Engineering
Colgate University
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NLR
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Technical Report
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Dive into the research topics of 'Guide to Using the WIND Toolkit Validation Code'. Together they form a unique fingerprint.
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Engineering
Wind Power
100%
Root Mean Square Error
66%
Quantile
66%
Metrics
33%
Power Production
33%
Numerical Weather Prediction Model
33%
Model Data
33%
Percent Error
33%
Air Density
33%
Production Time
33%
Histogram
33%
Department of Energy
33%
Mean Absolute Error
33%
United States
33%
Atmospheric Pressure
33%
Computer Science
Mean Absolute Error
100%
Prediction Model
100%
Department of Energy
100%
Observational Data
100%
Atmospheric Pressure
100%
Material Science
Density
100%
Surface (Surface Science)
100%