LEADER 01330nas  2200421-a 450 
001 996203912203316
005 20230627152448.0
035   $a(OCoLC)217248020
035   $a(CKB)991042749836864
035   $a(CONSER)--2009247804
035   $a(EXLCZ)99991042749836864
100   $a20080402b19911999  s--            -
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aJournal of veterinary anaesthesia
210   $a[Newmarket [England] $c[R & W Publications (Newmarket) Ltd.]$d[1991]-1999
311   $a1351-6574 
606   $aVeterinary anesthesia$vPeriodicals
606   $aAnesthesia$xveterinary
606   $aAnesthetics
606   $aAnesthésie (Médecine vétérinaire)$vPériodiques
606   $aVeterinary anesthesia$2fast$3(OCoLC)fst01165873
608   $aPeriodical
608   $aPeriodicals.$2fast
608   $aPeriodicals.$2lcgft
615  0$aVeterinary anesthesia
615 12$aAnesthesia$xveterinary
615 22$aAnesthetics
615  6$aAnesthésie (Médecine vétérinaire)
615  7$aVeterinary anesthesia.
712 02$aAssociation of Veterinary Anaesthetists.
906   $aJOURNAL
912   $a996203912203316
996   $aJournal of veterinary anaesthesia$9791397
997   $aUNISA

LEADER 03124nam  22005535  450 
001 9910299570803321
005 20200629210625.0
010   $a981-10-4250-0
024 7 $a10.1007/978-981-10-4250-8
035   $a(CKB)4340000000223623
035   $a(DE-He213)978-981-10-4250-8
035   $a(MiAaPQ)EBC5152961
035   $a(PPN)221249516
035   $a(EXLCZ)994340000000223623
100   $a20171120d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid /$fby Ran Wang, Ping Wang, Gaoxi Xiao
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XVIII, 140 p. 40 illus., 37 illus. in color.) 
311   $a981-10-4249-7 
320   $aIncludes bibliographical references at the end of each chapters.
330   $aThis book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids.
606   $aPower electronics
606   $aRenewable energy resources
606   $aOperations research
606   $aManagement science
606   $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070
606   $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000
606   $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024
615  0$aPower electronics.
615  0$aRenewable energy resources.
615  0$aOperations research.
615  0$aManagement science.
615 14$aPower Electronics, Electrical Machines and Networks.
615 24$aRenewable and Green Energy.
615 24$aOperations Research, Management Science.
676   $a621.317
700   $aWang$b Ran$4aut$4http://id.loc.gov/vocabulary/relators/aut$0968451
702   $aWang$b Ping$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aXiao$b Gaoxi$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299570803321
996   $aIntelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid$92497363
997   $aUNINA