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简介：Inthispaper,atechnicalandstatisticalanalysisofsecuritysystemandsecuritymanagementisprovidedforcrowdenergyandsmartliving.Atthesametime,aclearunderstandingismadeforcrowdenergyconceptandnextgenerationsmartliving.Variouscaseexampleshavebeenstudiedandabriefsummaryhasbeenprovided.Furthermore,astatisticalanalysishasbeenprovidedintermsofsecuritymanagementinsmartlivingwhereitisfoundthatyoungtechnocratsgivethehighestimportancetosecuritymanagementinsmartliving.Lastbutnottheleast,currentlimitation,constraints,andfuturescopeofsecurityimplementationhavebeendiscussedintermsofcrowdenergyclusteredwithnextgenerationsmartliving.

简介：ThepaperdescribesthevariousenergymanagementtechniquesthatcanbeimplementedforamodernelectricvehiclebyusingMATLAB/Simulink.TheRenaultTwizyvehicleisconsideredforMATLABsimulation.Regenerativebrakingtechniqueisdiscussed,inwhichthekineticenergyisconvertedtoelectricitytochargethebatteryofthevehiclewhenthebrakesareappliedorwhenthevehicleismovingdownthehill.Asolarphotovoltaic(PV)ontheroof-topofthevehicleisimplementedtochargethebatteryusedinthevehicle.Thesimulationresultsarehighlightedandenergymanagementstrategiesarepresented.Theresultsshowedthatthespeedcontrolofdirectcurrent(DC)motorduringthemotoringmodeandregenerativebrakingmodewassuccessfullyachievedbyusingabi-directionalDC-DCconverterandaproportional-integral(PI)controlleratvariousreferencespeedssetbytheuserbyapplyingavariableloadtorquestothemotor.ThesizeofsolarPVonroof-topofthevehiclewasfoundtobe280Wthatchargedthe48Vbatteryofthevehiclebyusingabi-directionalDC-DCconverter,whichwasevaluatedbyusingMATLAB/Simulink.

简介：Withthedevelopmentofsmartgrid,residentshavetheopportunitytoscheduletheirhouseholdappliances(HA)forthepurposeofreducingelectricityexpensesandalleviatingthepressureofthesmartgrid.Inthispaper,weintroducethestructureofhomeenergymanagementsystem(EMS)andthenproposeapoweroptimizationstrategybasedonhouseholdloadmodelandelectricvehicle(EV)modelforhomepowerusage.Inthisstrategy,theelectricvehiclesarechargedwhenthepriceislow,andotherwise,aredischarged.Byadoptingthiscombinedsystemmodelunderthetime-of-useelectricityprice(TOUP),theproposedschedulingstrategywouldeffectivelyminimizetheelectricitycostandreducethepressureofthesmartgridatthesametime.Finally,simulationexperimentsarecarriedouttoshowthefeasibilityoftheproposedstrategy.Theresultsshowthatcrossovergeneticparticleswarmoptimizationalgorithmhasbetterconvergencepropertiesthantraditionalparticleswarmalgorithmandbetteradaptabilitythangeneticalgorithm.

简介：Thebuildingsectoranditsheatingandcoolingrepresentoneofthemajorconsumerofenergyworldwide.Simultaneously,theshareoffluctuatinggenerationofrenewableenergiesintheenergymixincreases.Thereforestorageanddemandsidemanagementtechnologiesarerequired.Thenewadaptiveandpredictivecontrolalgorithmforthermallyactivatedbuildingsystems(TABS)basedonmultiplelinearregression(AMLR)presentedinthispaperenablestheapplicationofdemandsidemanagement(DSM)strategies.Basedonsimulations,differentstrategieshavebeencomparedwitheachother.ByapplyingtheAMLRalgorithm,electricityenergycostsavingsof38%couldbeachievedcomparedtotheconventionalcontrolstrategyforTABS,whileincreasingthethermalcomfort.Atthesametime,thermalenergydemandcanbereducedintherangebetween4%to8%,andpumpoperationtimefrom86%to89%.

简介：Thepapergivesanoverviewontheneedforsmartcouplingforbatterymanagementingridintegratedrenewableenergysystem(RES).Gridintegratedphotovoltaic(PV)batterysystem,asbeingpopularandextensivelyusedhasbeendiscussedinthepaper.SmartcouplingreferstointelligentgridintegrationsuchthatitcanforeseelocalnetworkconditionsandissuebatterypowerflowmanagementstrategyaccordinglytoshavethepeakPVandpeakload.Therefore,aneedforpredictiveenergymanagementarisesforsmartintegrationtothegridandsupervisionofthepowerflowinaccordancetothegridconditions.ThisisalsoarunningprojectattheInstituteofEnergySystems(INES),OffenburgUniversityofAppliedScience,GermanysinceJanuary,2015.Thepapershouldprovideinsightstothemotivation,needandgivesanoutlooktothefeaturesofdesiredpredictiveenergymanagementsystem(PEMS).

简介：ThispaperpresentsanopportunityforenergymanagementwithanintegratedphotovoltaicandwindfarmfortheenergyandeconomicaspectsofthecommercialarealocatedinPutrajaya.Theenergyeconomyaccessionconformingtothewindspeed,temperature,solarirradiation,andenergyconsumptiononadailybasisistakenintoconsideration.Designanalysisisdonethroughtheindustrystandardnumericaltool.Fromtheresultanalysis,therecommendedratioofrenewableshareminimizingstresstotheelectricgridisproposed.Accordingtothesolutionsobtainedfromthenumericaldesigntool,photovoltaicisrecommendedtobemoreenergyefficientandeconomicallyviableincomparisonofthefullycrowdedwindfarm.Fromtheproposedsolutions,thephotovoltaicisabletoprovide51%oftheenergyconsumedanditcostsRM0.365perkW/h.

简介：Toolmanagementisnotasingle,simpleactivity,itiscomprisedofacomplexsetoffunctions,especiallyinaflexiblemanufacturingsystem(FMS)environment.Theissuesassociatedwithtoolmanagementincludetoolrequirementplanning,toolreal-timescheduling,toolcribmanagement,toolinventorycontrol,toolfaultdiagnosis,tooltrackingandtoolmonitoring.Inordertomaketoolsflowinto/outofFMSefficiently,thisworkisaimedtodesignaknowledge-baseddecisionsupportsystem(KBDSS)fortoolmanagementinFMS.Firstlyanoverviewoftoolmanagementfunctionsisdescribed.ThenthestructureofKBDSSfortoolmanagementandtheessentialagentsinthedesignofKBDSSarepresented.FinallytheindividualagentsofKBDSSarediscussedfordesignanddevelopment.

简介：Wearabledevicesbecomepopularbecausetheycanhelppeopleobservehealthcondition.Thebatterylifeisthecriticalproblemforwearabledevices.Thenon-volatilememory(NVM)attractsattentioninrecentyearsbecauseofitsfastreadingandwritingspeed,highdensity,persistence,andespeciallylowidlepower.Withitslowidlepowerconsumption,NVMcanbeappliedinwearabledevicestoprolongthebatterylifetimesuchassmartbracelet.However,NVMhashigherwritepowerconsumptionthandynamicrandomaccessmemory(DRAM).Inthispaper,weassumetousehybridrandomaccessmemory(RAM)andNVMarchitectureforthesmartbraceletsystem.Thispaperpresentsadatamanagementalgorithmnamedbraceletpower-awaredatamanagement(BPADM)basedonthearchitecture.TheBPADMcanestimatethepowerconsumptionaccordingtothememoryaccess,suchassamplingrateofdata,andthendeterminethedatashouldbestoredinNVMorDRAMinordertosatisfylowpower.TheexperimentalresultsshowBPADMcanreducepowerconsumptioneffectivelyforbraceletinnormalandsleepingmodes.

简介：CognitiveRadio(CR)systembasedonOrthogonalFrequencyDivisionMultipleAccess(OFDMA),suchasWirelessRegionalAreaNetworks(WRAN)andWorldwideInteroperabilityforMicrowaveAccess(WiMAX),oftenattempttoimproveperformanceviadynamicradioresourcemanagement,whichischaracterizedasconcurrentprocessingofdifferenttrafficandnondeterministicsystemcapacity.Itisessentialtodesignandevaluatesuchcomplexsystemusingpropermodelingandanalysistools.Inthepreviouswork,mostofthecommunicationsystemsweremodeledasMarkovChain(MC)andStochasticPetriNets(SPN),whichhavetheexplicitlimitationinevaluatingadaptiveOFDMACRsystemwithwideareatraffic.Inthispaper,wedevelopanexecutabletop-downhier-archicalColoredPetriNet(CPN)modelforadaptiveOFDMACRsystem,andanalyzeitsperformanceusingCPNtools.TheresultsdemonstratethattheCPNcanmodeldifferentradioresourcemanage-mentalgorithmsinCRSystems,andtheCPNtoolsrequirelesscomputationaleffortthanMarkovmodelusingMatlab,withitsflexibilityandadaptabilitytothetrafficswhicharrivalintervalandprocessingtimearenotexponentiallydistributed.

简介：Thispaperpresentsthedesignandimplementationofanenergymanagementsystem(EMS)withwavelettransformandfuzzycontrolforaresidentialmicro-grid.Thehybridsysteminthispaperconsistsofawindturbinegenerator,photovoltaic(PV)panels,anelectricvehicle(EV),andasupercapacitor(SC),whichisabletoconnectordisconnecttothemaingrid.Thecontrolstrategyisresponsibleforcompensatingthedifferencebetweenthegeneratedpowerbythewindandsolargeneratorsandthedemandedpowerbytheloads.Wavelettransformdecomposesthepowerdifferenceintoasmoothedcomponentandafastfluctuatedcomponent.Thecommandapproachusedforfuzzylogicrulesconsidersthestateofcharging(SOC)ofEV,renewableproduction,andtheloaddemandasparameters.Furthermore,thecommandrulesaredevelopedinordertoensureareliablegridwhentakingintoaccounttheEVbatteryprotectiontodecidetheoutputpoweroftheEV.ThemodelofthehybridsystemisdevelopedindetailunderMatlab/Simulinksoftwareenvironment.

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简介：ThispaperpresentsaDynamicCross-layerDataQueueManagementapproach(DC-DQM)basedonprioritytoaddresstheprioritydeviationprobleminDelay-TolerantMobileSensorNetworks(DT-MSNs).Receiver-drivendatadeliveryschemeisusedforfastresponsetodatatransfers,andaprioritybasedinteractionmodelisadoptedtoidentifythedatapriority.Threeinteractiveparametersareintroducedtoprioritizeanddynamicallymanagedataqueue.Theexperimentalresultsshowthatitcanamelioratedatadeliveryratioandachievegoodperformanceintermsofaveragedelay.