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035   $a(OCoLC)1285382969
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100   $a20211116d2021      ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGeothermal operational optimization with machine learning /$fGrant Buster [and six others]
210  1$a[Golden, Colo.] :$c[National Renewable Energy Laboratory],$d2021.
215   $a1 online resource (18 pages) $cillustrations (chiefly color)
225 1 $aNREL/PR ;$v6A20-79934
300   $aSlideshow presentation.
300   $a"ASME ES2021."
606   $aGeothermal resources$xComputer simulation
606   $aMachine learning
615  0$aGeothermal resources$xComputer simulation.
615  0$aMachine learning.
700   $aBuster$b Grant$01386949
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910716941903321
996   $aGeothermal operational optimization with machine learning$93536317
997   $aUNINA