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181   $2rdacontent
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200 10$aUsing machine learning to create turbine performance models /$fAndy Clifton
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d[2013]
215   $a1 online resource (17 pages) $ccolor illustrations
225 1 $aNREL/PR ;$v5000-58314
300   $aTitle from title screen (viewed on Jan. 14, 2014).
300   $a"May 2013."
300   $a"Presented to Power Curve Working Group Meeting II, Brande, Denmark, March 12 2013."
320   $aIncludes bibliographical references.
606   $aTurbines$xTechnological innovations
606   $aMachine learning
606   $aInterconnected electric utility systems$zUnited States
615  0$aTurbines$xTechnological innovations.
615  0$aMachine learning.
615  0$aInterconnected electric utility systems
700   $aClifton$b Andy$01385955
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