LEADER 01659oam  2200421I  450 
001 9910707819003321
005 20170105102636.0
035   $a(CKB)5470000002468372
035   $a(OCoLC)958232477
035   $a(OCoLC)995470000002468372
035   $a(EXLCZ)995470000002468372
100   $a20160902j20160801  ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHybrid model-based and data-driven fault detection and diagnostics for commercial buildings $epreprint /$fStephan Frank [and six others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$dAugust 2016.
215   $a1 online resource (14 pages) $ccolor illustrations
225 1 $aNREL/CP ;$v5500-65924
300   $a"August 2016."
300   $a"To be presented at the 2016 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, California, 21-26 August 2016."
320   $aIncludes bibliographical references (pages 12-14).
517   $aHybrid model-based and data-driven fault detection and diagnostics for commercial buildings 
606   $aCommercial buildings$xEnergy conservation$zUnited States
615  0$aCommercial buildings$xEnergy conservation
700   $aFrank$b Steven$01405473
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bLLB
801  1$bLLB
801  2$bOCLCO
801  2$bOCLCQ
801  2$bGPO
906   $aBOOK
912   $a9910707819003321
996   $aHybrid model-based and data-driven fault detection and diagnostics for commercial buildings$93482067
997   $aUNINA