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Mobile Sensing for Wind Field Estimation in Wind Farms
David Pasley
, Marco Nicotra
,
Lucy Pao
,
Jennifer King
,
Christopher Bay
National Wind Technology Center
University of Colorado Boulder
Research output
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Contribution to conference
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Paper
›
peer-review
Overview
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Dive into the research topics of 'Mobile Sensing for Wind Field Estimation in Wind Farms'. Together they form a unique fingerprint.
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Engineering
Compressed Air Motors
100%
Field Estimation
100%
Mobile Sensor
75%
Recursive
50%
Least Square
50%
Boundary Condition
50%
Turbine
50%
Model Parameter
25%
Parameter Variation
25%
Field Measurement
25%
Sensitivity Matrix
25%
Limited Amount
25%
Collecting Data
25%
Earth and Planetary Sciences
Wind Field
100%
Compressed Air Motors
100%
Boundary Condition
50%
Real Time
25%