LEADER 00758nam0-22002891i-450- 001 990000502390403321 005 20071003151354.0 010 $a0-07-038675-7 035 $a000050239 035 $aFED01000050239 035 $a(Aleph)000050239FED01 035 $a000050239 100 $a20020821d1977----km-y0itay50------ba 101 0 $aeng 105 $aa-------001yy 200 1 $aRaman spectroscopy$fD. A. Long 210 $aNew York [etc.]$cMcGraw-Hill$d1977 215 $a276 p.$cill.$d24 cm 610 0 $aSpettroscopia di Raman 676 $a535.846 700 1$aLong,$bDerek Albert 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000502390403321 952 $a10 B III 163$bCNR L/57$fDINEL 959 $aDINEL 997 $aUNINA LEADER 01510nam--2200397---450 001 990001113760203316 005 20180312154826.0 010 $a3-540-43724-X 035 $a000111376 035 $aUSA01000111376 035 $a(ALEPH)000111376USA01 035 $a000111376 100 $a20021210d2002----km-y0ITAy0103-------ba 101 0 $aENG 102 $aDE 200 1 $aAdvances in artificial intelligence$e15th Conference of the Canadian Society for computational studies of intelligence, AI 2002$eCalgary, Canada, May 27-29, 2002$eproceedings$fRobin Cohen... (eds.) 210 $aBerlin [etc.]$cSpringer-Verlag$dcopyr. 2002 215 $aX, 196 p.$cill.$d20 cm 225 $aLecture notes in artificial intelligence$v2338 300 $aSerie principale: Lecture notes in computer science 410 $12001$aLecture notes in artificial intelligence$v2338 610 1 $aIntelligenza artificiale$aCongressi$a2002 676 $a006.3 702 1$aCohen,$bRobin 710 12$aCanadian society for computational studies of intelligence$0554434 801 0$aITA$bCBS$gISBD 912 $a990001113760203316 951 $a006.3 LNIA (2338)(A)$b0026815 CBS$c006.3$d00112101 959 $aBK 969 $aSCI 979 $aDIGIUSEPPE$b90$c20021210$lUSA01$h1430 979 $aDIGIUSEPPE$b90$c20030317$lUSA01$h1503 979 $aPATRY$b90$c20040406$lUSA01$h1717 979 $aFIORELLA$b90$c20070910$lUSA01$h1338 996 $aAdvances in artificial intelligence$9981314 997 $aUNISA LEADER 01851oam 2200505I 450 001 9910711423203321 005 20181221123734.0 035 $a(CKB)5470000002483812 035 $a(OCoLC)1057120315 035 $a(EXLCZ)995470000002483812 100 $a20181016d2018 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvaluating the impacts of battery energy storage system functionalities on distribution systems using power hardware-in-the-loop simulation /$fAnnabelle Pratt [and six others] 210 1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2018. 215 $a1 online resource (1 page) $ccolor illustrations 225 1 $aNREL/PO ;$v5D00-72147 300 $a"IEEE PES General Meeting 2018, Portland, Oregon, August 5-9, 2018." 606 $aHardware-in-the-loop simulation 606 $aStorage batteries 606 $aSmart power grids 606 $aHardware-in-the-loop simulation$2fast 606 $aSmart power grids$2fast 606 $aStorage batteries$2fast 615 0$aHardware-in-the-loop simulation. 615 0$aStorage batteries. 615 0$aSmart power grids. 615 7$aHardware-in-the-loop simulation. 615 7$aSmart power grids. 615 7$aStorage batteries. 700 $aPratt$b Annabelle$01394599 712 02$aNational Renewable Energy Laboratory (U.S.), 712 02$aIEEE Power & Energy Society.$bGeneral Meeting. 801 0$bGPO 801 1$bGPO 801 2$bMERUC 801 2$bOCLCF 801 2$bGPO 906 $aBOOK 912 $a9910711423203321 996 $aEvaluating the impacts of battery energy storage system functionalities on distribution systems using power hardware-in-the-loop simulation$93456633 997 $aUNINA