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1、AcceptedManuscriptAnovelmethodtooptimizeelectricitygenerationfromwindenergyE.E.Vogel,G.Saravia,S.Kobe,R.Schumann,R.SchusterPII:S0960-1481(18)30375-6DOI:10.1016/j.renene.2018.03.064Reference:RENE9933Toappearin:RenewableEnergyReceivedDate:21October2016RevisedDate:25February2018Accep
2、tedDate:24March2018Pleasecitethisarticleas:VogelEE,SaraviaG,KobeS,SchumannR,SchusterR,Anovelmethodtooptimizeelectricitygenerationfromwindenergy,RenewableEnergy(2018),doi:10.1016/j.renene.2018.03.064.ThisisaPDFfileofanuneditedmanuscriptthathasbeenacceptedforpublication.Asaserviceto
3、ourcustomersweareprovidingthisearlyversionofthemanuscript.Themanuscriptwillundergocopyediting,typesetting,andreviewoftheresultingproofbeforeitispublishedinitsfinalform.Pleasenotethatduringtheproductionprocesserrorsmaybediscoveredwhichcouldaffectthecontent,andalllegaldisclaimerstha
4、tapplytothejournalpertain.ACCEPTEDMANUSCRIPTAnovelmethodtooptimizeelectricitygenerationfromwindenergyE.E.Vogela,b,e,G.Saraviaa,S.Kobec,R.Schumannc,R.SchusterdaDepartmentofPhysics,UniversidaddeLaFrontera,Casilla54-D,Temuco,ChilebCenterfortheDevelopmentofNanoscienceandNanotechnology
5、,ChilecInstitutf¨urTheoretischePhysik,TechnischeUniversit¨atDresden,D-01062Dresden,GermanydD-35759Driedorf,GermanyeCorrespondingauthor:eugenio.vogel@ufrontera.clHIGHLIGHTS•Datarecognizerwlzipisusedtoanticipatefavorableperiodsofwindenergy•Themethodcanalsobeusedtoanalyzewindenergypr
6、oduction•DatafromallGermanturbinesduring2010:2017isusedinthisstudy•Aprotocolformixingwindenergywithconventionalsourcesisproposed•Protocolindicatorsaretestedonmonthlybasisduringtheeight-yearperiodMANUSCRIPTAbstractWepresentanddiscussanewtechniquebasedoninformationtheorytodetectinad
7、vancefavorableperiodsofwindactivity(positiveramps)forelectricitygener-ation.Inadditionthistechniquecouldalsohelpintheanalysisofplantoperationandmanagementprotocolsdesign.RealdatafromwindpowerplantsinGermanyisused;thisinformationisfreelyavailableintheinternetwithreliableregistersev
8、ery15minutes.Asimpleprotocoltomix
