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Smart Grid and Enabling Technologies. Frede Blaabjerg
Читать онлайн.Название Smart Grid and Enabling Technologies
Год выпуска 0
isbn 9781119422457
Автор произведения Frede Blaabjerg
Жанр Физика
Издательство John Wiley & Sons Limited
3 GPPThird Generation Partnership ProjectABCAnt bee colonyAdaboost–MLPAdaptive boosting-Multilayer perceptronAERall-electric-rangeAMIAdvanced metering infrastructureAMRAutomated Meter ReadingAMSAutomatic metering servicesAManalytical methodsANSIAmerican National Standards InstituteACAlternative CurrentAVRAutomatic Voltage RegulatorAWSAmazon Web ServicesAPIApplication programming interfaceANNartificial neural net-workARIMA-XGBoostAutoregressive integrated moving Average-Extreme gradient boostingARMA-TDNNAutoregressive and moving average-Time delay neural networkARMAAutoregressive and Moving AverageARIMAAutoregressive integrated moving averageAdaboost–MLPAdaptive boosting-Multilayer perceptronARIMA-ANFISAutoregressive integrated moving average-adaptive neuro-fuzzy inference systemANFISAdaptive neuro-Fuzzy inference systemAODEAggregating One-Dependence Estimators classifierARMAAutoregressive moving averageACOAnt colony optimizationAnt colonyAnt colonyABCAnt bee colonyARIMA Neurofuzzy-Artificial neural networks-fuzzy logic-Autoregressive integrated moving averageARIMA MixedMixed autoregressive integrate moving averageImproved ARIMAXImproved Autoregressive integrated moving average process with exogenous inputsBACBuilding Automation and ControlBMbusiness modelBPEBuilding Produced EnergyBANsBuilding/Business Area NetworkBPLBroadband over Power LineBayesianWavelet-Extreme learning machineBoosting additive quantile regressionBoosting additive quantile regressionBNNBayesian neural networkBACBayesian actor-Critic algorithmsBBNBayesian belief networkBioBiological swarm chasing algorithmbioenergyBiomass energybiofuelsliquid fuelsBEVsbattery electric vehiclesCCCloud ComputingCIMCommon Information ModelCPPcritical peak pricingCHILcontroller HILCHPCombined heat and power systemsCISCustomer Information SystemCEPRIChina Electric Power Research InstituteCOAGCouncil of Australian GovernmentsCAEScompressed air energy storageCHBcascaded H-bridge converterCMCcentral management controllerFaster R-CNNFaster Region-based Convolutional neural networkCNN-WTConvolutional neural network-Wavelet transformCVAELMComplementary ensemble empirical mode decomposition with adaptive noise- Variational mode decomposition – Adaptive boosting-Extreme learning machineCRfsConditional random fieldsCRO-SLCoral reefs optimization algorithmCSPconcentrating solar powerc-SisiliconCO2carbon dioxideCAESCompressed Air Energy StorageCICEVsconventional internal-combustion-engine vehiclesDGDistributed GenerationDRDemand ResponseDMSDistribution Management SystemDSIDemand-Side IntegrationDSMDemand Side ManagementDSLDigital Subscriber LineDSOdistribution network operatorDERDistributed Energy ResourcesDRMSDemand Response Management SystemDFIGdoubly fed induction generatorDCDirect CurrentDPRdigital protective relayDFRdigital fault recorderDGsdistributed generatorsDESDistributed Energy StorageDBNDeep belief networksDCNNDeep convolutional neural networkDRN-DWWCDeep residual networks - Dynamically weighted wavelet coefficientsDQLDeep Q-learningDNIdirect componentDoDDepth of DischargeE2EEnd-to-EndEMSEnergy management systemEUEuropean UnionEPBDEnergy Performance of Building DirectiveETLextract, transform and loadETAPElectrical Transient Analyzer ProgramEPRIElectric Power Research InstituteEEGIEuropean Electricity Grid InitiativeESSsenergy storage systemsEMIelectromagnetic interferenceERPEnterprise Resource PlanningEVElectric VehiclesESNEcho state networksEKF-based NNExtended Kalman filter method Neural NetworkExtra treeExtra treeETCevacuated tube solar collectorsESOIenergy stored on energy investedEVSEElectric Vehicle Supply EquipmentEPSElectric power systemFACTSFlexible AC transmission systemsFERCFederal Energy Regulatory CommissionFMIFunctional Mockup InterfaceFMUFunctional Mock-up UnitsFANField Area NetworkFCflying capacitor converterFLFuzzy logicFCRBMFactored conditional restricted Boltzmann MachineFaster R-CNNFaster Region-based Convolutional neural networkFIS-LSEFuzzy inference system-least-squares estimationFLC-FAFuzzy logic controller-Firefly algorithmFRFresnel ReflectorFPCflat-plate solar collectorsFESFlywheel Energy StorageFCEVsfuel-cell electric vehiclesGOOSEgeneric object-oriented system eventGSMGlobal System for Mobile CommunicationsGISGeographic Information SystemGPSGlobal Positioning SystemGWACGrid Wise Architecture CouncilGASVMGenetic functionality support vector machineGRU NNGated recurrent unit neural networkGPGaussian processGANsGenerative adversarial networksGBMGradient boosting machineGARCHGeneralized Autoregressive Conditional HeteroskedasticGA-NNGenetic algorithm-Neural networkGBRTGradient boosted regression treeGlow-wormGlow-worm optimizationGWOgrey wolf optimizationGBTDGradient boosting theft detectorGHPGeothermal Heat PumpGWECThe Global Wind Energy CouncilGHGgreenhouse gasesHANsHome area networksHEMshome energy managementHILHardware-in-the-LoopHPCCHomePlug Command and ControlHVDCHigh-Voltage Direct CurrentHCShill climbing searchingHESSshybrid energy storage systemsHPFhigh pass filterHDFSHadoop Distributed File SystemHNNHybrid neural networkHMMHidden Markov modelsHPPsHydropower plantsHEVshybrid electric vehiclesICTInformation and Communication TechnologiesIEDsIntelligent Electronic DevicesIHDIn-Home DisplayIANsIndustrial Area Networks andIECInternational Electro Technical CommissionIEEEInstitute of Electrical and Electronics EngineersITLInformation Technology LaboratoryISOInternational Organization for StandardizationISAInternational Society of AutomationICinternal combustionIaaSInfrastructure as a ServiceIGCCIntegrated Gasification Combined CycleITUInternational Telecommunication UnionISACAInformation Systems Audit and Control AssociationIpso-ANNImproved article Swarm Optimization Algorithm-Artificial neural networkImproved ARIMAXImproved Autoregressive integrated moving average process with exogenous inputsIRENAInternational Renewable Energy AgencyIEAInternational Energy AgencyKPIsKey Performance IndicatorsKATSKorean Agency for Technology and Standardskbpskilobits per secondKNNK-nearest neighborsKNN-ANNK-nearest neighbor-Artificial neural networkKAISTKorea Advanced Institute of Science and TechnologyLPFlow pass filterLANlocal area networkLVDClow-voltage direct currentLVAClow-voltage alternating currentLSTM NNLong short-term memory Neural networkLESLinear exponential smoothingLightGBMLight gradient boosting methodLCOElevelized cost of electricityLCOSlevelized cost of storageLi-ionLithium-IonLi-PoLithium-PolymerMGMicrogridMDMSMeter Data Management SystemMPPTmaximum power point trackingMMCmodular multilevel converterMVDCMedium Voltage DCMPCModel Predictive ControlMOPSOMulti-Objective Particle Swarm OptimizationMOGAMulti-Objective GeneticMDMSMeter Data Management SystemMVACmedium voltage ACMASmulti agent-based control systemMVmedium voltageMSS-AdaMSS-Adaptive boostingAdaboost–MLPAdaptive boosting-Multilayer perceptronMixed ARIMAMixed autoregressive integrate moving averageMNBMultinomial naïve bayesMSMolten SaltMPmathematical programmingNANsneighbored area networksNISTNational Institute of Standards and TechnologyNPCneutral-point clamped converternZEBnet Zero Energy BuildingsnZECnet Zero Energy CommunityNANNeighborhood Area NetworkNNNeural networkNeuro-FuzzyArtificial neural networks-Fuzzy logicNeurofuzzy-ARIMAArtificial neural networks-fuzzy logic-Autoregressive integrated moving averageNARXNonlinear autoregressive exogenousNBNaïve bayesNi-CdNickel-CadmiumNi-MHNickel-Metal HydrideOMSOutage Management SystemOPFROptimal Power Flow ReservesOpenADROpen Automated Demand ResponseOPFOptimal Power Flow ToolOTECOcean thermal energy conversionOTEGsocean thermo-electric generatorsOLEVon-line electric vehicleORNLOak Ridge National LaboratoryPHILpower HILPHEVPlug-in Hybrid Electric VehiclePSCADPower Systems Computer Aided DesignPLCPower Line CommunicationPVphotovoltaicP2Ppeer-to-peerPLLPhase Locked LoopPVQVVoltage Adequacy and Stability ToolPESPower and Energy SocietyPSFpower signal feedbackPIproportional integralPIDproportional–integral–derivativePMUphasor measurement unitsPaaSPlatform as a ServicePSOParticle swarm optimizationPCCpoint of common couplingPCA-LSSVMPrincipal component analysis- Least squares support vector machinesPDRNNPooling-based deep recurrent neural networkPTParabolic TroughPHSPumped Hydroelectric StoragePEVsplug-in electric vehiclesPHEVsplug-in hybrid electric vehiclesPb-acidLead-AcidPATHPartners for Advance Transit and HighwaysQoSQuality of ServiceRTSpower grid real-timeRERsrenewable energy resourcesROCOFrate of change of frequencyRTPReal-Time PricingRVM-XGBoost EnsembleEnsemble of relevance vector machines and boosted treesRF-XGBoostRandom forest-extreme gradient boostingRBFNNRadial basis neural networksRFRandom forestRFLReinforcement learningRErenewable energyRCResistance to ChangeRFRadio FrequencySMssmart metersSCADASubstation supervisory control and data acquisitionSTATCOMStatic Synchronous CompensatorSGSmart GridSCADASupervisory Control and Data AcquisitionSCOPFSecurity Constrained Optimal Power Flow ToolSGCCState Grid Corporation of ChinaSCsupercapacitorsSMESsuperconducting magnetic energy storageSRF-PLLsynchronous reference frame PLLSGssynchronous generatorsSMssubmodulesSSRSub-synchronous resonanceSERsequence of event recorderSQLStructured Query LanguageSaaSSoftware as a ServiceSVMSupport vector machinesSD-EMD-LSTMSimilar days-selection, empirical mode decomposition-long short-term memory neural networksSDAsStacked denoising AutoencodersSARSAState–action–reward–state–actionSTARMASpatiotemporal auto-regressive moving average modelSELMStacked extreme learning machineSMLEStacking heterogeneous ensemble learning modelSMOspider monkey optimizationSASimulated annealingSARIMAXSeasonal autoregressive integrated moving average process with exogenous inputsSTPARSmooth transition periodic autoregressiveSTARMASpatiotemporal