04662nam 2201189z- 450 991055767880332120210501(CKB)5400000000044745(oapen)https://directory.doabooks.org/handle/20.500.12854/69401(oapen)doab69401(EXLCZ)99540000000004474520202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachine Learning for Energy SystemsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (272 p.)3-03943-382-2 3-03943-383-0 This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.History of engineering and technologybicsscabnormal defectsAdaptive Neuro-Fuzzy Inference Systemartificial intelligenceblockchainblockchain technologycast-resin transformersclassificationclassification and regression treesclusteringcomponent accident setcyber-physical systemsdata evolution mechanismdecision treeenergy internetenergy management systemenergy routerenergy storageenergy systemsensemble empirical mode decompositionextreme learning machinefatigueforecastingharmonic impedanceharmonic impedance identificationharmonic parameterharmonic responsibilityhierarchical clusteringhigh permeability renewable energyhybrid AC/DC power systemhybrid interval forecastingindustrial mathematicsinformation securityinsulator fault forecastintegrated energy systemintelligent controlInterfacial tensioninverse problemslinear regression modellinearizationload levelingmachine learningmaintenancemonitoring data without phase angleMOPSO algorithmoffshore wind farmoptimizationparameter estimationpartial dischargepattern recognitionphotovoltaic output power forecastingpower controlpower qualityQoS index of energy flowrelevance vector machinerenewable energy sourcerisk assessmentrule extractionsample entropyscheduling optimizationsmart microgridstochastic optimizationtime series forecastingtraction networktransformer oil parametersvacuum tank degasserVolterra equationsVolterra modelsvulnerabilitywavelet packetswind power: wind speed: T-S fuzzy model: forecastingwind turbineHistory of engineering and technologySidorov Denis Nedt1329477Sidorov Denis NothBOOK9910557678803321Machine Learning for Energy Systems3039487UNINA