LEADER 00921cam0-22003491i-450- 001 990007885380403321 005 20050923115204.0 010 $a88-08-08921-5 035 $a000788538 035 $aFED01000788538 035 $a(Aleph)000788538FED01 035 $a000788538 100 $a20040517d2002----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa---a---001yy 200 1 $aEconomia del turismo$eteoria e pratica$fChris Cooper ... [et al.] 210 $aBologna$cZanichelli$d2002 215 $aXX, 396 p.$d27 cm 610 0 $aIndustria turistica 610 0 $aMarketing turistico 676 $a046.008 702 1$aCooper,$bChris 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007885380403321 952 $a0-3-308-TI$fECA 952 $a046.008.COO$b5257$fDECGE 959 $aECA 959 $aDECGE 996 $aEconomia del turismo$9668589 997 $aUNINA LEADER 01772nam 2200457Ia 450 001 9910702192403321 005 20120921152546.0 035 $a(CKB)5470000002424210 035 $a(OCoLC)810458724 035 $a(EXLCZ)995470000002424210 100 $a20120921d2012 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aWind power plant prediction by using neural networks$b[electronic resource] $epreprint /$fZ. Liu ... [and others] 210 1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d[2012] 215 $a1 online resource (7) $ccolor illustrations 225 1 $aNREL/CP ;$v5500-55871 300 $aTitle from title screen (viewed on Sept. 21, 2012). 300 $a"To be presented at the IEEE Energy conversion Conference and Exposition, Raleigh, North Carolina, September 15-20, 2012." 300 $a"August 2012." 300 $a"Contract No. DE-AC36-08GO28308." 320 $aIncludes bibliographical references (page 7). 517 $aWind power plant prediction by using neural networks 606 $aWind power$xForecasting 606 $aWind power plants$xForecasting 606 $aNeural networks (Computer science) 615 0$aWind power$xForecasting. 615 0$aWind power plants$xForecasting. 615 0$aNeural networks (Computer science) 701 $aLiu$b Z$01405433 712 02$aNational Renewable Energy Laboratory (U.S.) 712 12$aIEEE Energy Conversion Congress and Exposition$f(2012 :$eRaleigh, N.C.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910702192403321 996 $aWind power plant prediction by using neural networks$93481905 997 $aUNINA LEADER 01126nam0 2200277 i 450 001 VAN0054638 005 20231220120245.931 010 $a978-05-210-3905-5 100 $a20061019d2002 |0itac50 ba 101 $aeng 102 $aGB 105 $a|||| ||||| 200 1 $aPhase transition dynamics$fAkira Onuki 210 $aCambridge$cCambridge university$d2002 215 $aX, 714 p.$cill.$d26 cm 606 $a82-XX$xStatistical mechanics, structure of matter [MSC 2020]$3VANC021931$2MF 620 $dCambridge$3VANL000024 700 1$aOnuki$bAkira$3VANV043221$021231 712 $aCambridge university $3VANV107986$4650 801 $aIT$bSOL$c20231222$gRICA 856 4 $u/sebina/repository/catalogazione/documenti/Onuki - Phase transition dynamics.pdf$zContents 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $aVAN0054638 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 82-XX 3110 $e08 6548 I 20061019 996 $aPhase transition dynamics$9338917 997 $aUNICAMPANIA