04643nam 2201177z- 450 991055767880332120231214133101.0(CKB)5400000000044745(oapen)https://directory.doabooks.org/handle/20.500.12854/69401(EXLCZ)99540000000004474520202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachine Learning for Energy SystemsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic 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 & technologybicsscvacuum tank degasserrule extractionextreme learning machineclassification and regression treeswind power: wind speed: T–S fuzzy model: forecastinglinearizationmachine learningphotovoltaic output power forecastinghybrid interval forecastingrelevance vector machinesample entropyensemble empirical mode decompositionhigh permeability renewable energyblockchain technologyenergy routerQoS index of energy flowMOPSO algorithmscheduling optimizationAdaptive Neuro-Fuzzy Inference Systeminsulator fault forecastwavelet packetstime series forecastingpower qualityharmonic parameterharmonic responsibilitymonitoring data without phase angleparameter estimationblockchainenergy internetinformation securityforecastingclusteringenergy systemsclassificationintegrated energy systemrisk assessmentcomponent accident setvulnerabilityhybrid AC/DC power systemstochastic optimizationrenewable energy sourceVolterra modelswind turbinemaintenancefatiguepower controloffshore wind farmInterfacial tensiontransformer oil parametersharmonic impedancetraction networkharmonic impedance identificationlinear regression modeldata evolution mechanismcast-resin transformersabnormal defectspartial dischargepattern recognitionhierarchical clusteringdecision treeindustrial mathematicsinverse problemsintelligent controlartificial intelligenceenergy management systemsmart microgridoptimizationVolterra equationsenergy storageload levelingcyber-physical systemsHistory of engineering & technologySidorov Denis Nedt1329477Sidorov Denis NothBOOK9910557678803321Machine Learning for Energy Systems3039487UNINA