LEADER 01615nam  2200433   450 
001 9910717043103321
005 20211230101041.0
035   $a(CKB)5470000002527776
035   $a(OCoLC)1290169013
035   $a(EXLCZ)995470000002527776
100   $a20211227j202107    ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced computing, data science, and artificial intelligence research opportunities for energy-focused transportation science /$fDavid Biagioni [and twelve others]
210  1$aGolden, CO :$cNational Renewable Energy Laboratory,$dJuly 2021.
215   $a1 online resource (v, 18 pages) $ccolor illustrations, color maps
225 1 $aNREL/TP ;$v2C00-79589
300   $a"July 2021."
320   $aIncludes bibliographical references.
606   $aArtificial intelligence
606   $aTransportation$xEnergy conservation
606   $aVehicles$xEnergy consumption
606   $aEnergy consumption
608   $aTechnical reports.$2lcgft
615  0$aArtificial intelligence.
615  0$aTransportation$xEnergy conservation.
615  0$aVehicles$xEnergy consumption.
615  0$aEnergy consumption.
700   $aBiagioni$b David$01401221
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910717043103321
996   $aAdvanced computing, data science, and artificial intelligence research opportunities for energy-focused transportation science$93469655
997   $aUNINA