03559nam 22006615 450 991037394720332120200701145711.03-030-36529-810.1007/978-3-030-36529-5(CKB)4940000000159085(DE-He213)978-3-030-36529-5(MiAaPQ)EBC6005215(PPN)242848850(EXLCZ)99494000000015908520200101d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierHybrid Intelligent Technologies in Energy Demand Forecasting /by Wei-Chiang Hong1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XII, 179 p. 60 illus., 51 illus. in color.) 3-030-36528-X Introduction -- Modeling for Energy Demand Forecasting -- Data Pre-processing Methods -- Hybridizing Meta-heuristic Algorithms with CMM and QCM for SVR’s Parameters Determination -- Hybridizing QCM with Dragonfly algorithm to Enrich the Solution Searching Be-haviors -- Phase Space Reconstruction and Recurrence Plot Theory .This book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies. It covers meta-heuristic algorithms, chaotic mapping mechanism, quantum computing mechanism, recurrent mechanisms, phase space reconstruction, and recurrence plot theory. The book clearly illustrates how these intelligent technologies could be hybridized with those traditional forecasting models. This book provides many figures to deonstrate how these hybrid intelligent technologies are being applied to exceed the limitations of existing models.Energy policyEnergy and stateComputational intelligenceComputer simulationStatistical physicsRenewable energy resourcesEnergy Policy, Economics and Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/112000Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Applications of Nonlinear Dynamics and Chaos Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/P33020Renewable and Green Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/111000Energy policy.Energy and state.Computational intelligence.Computer simulation.Statistical physics.Renewable energy resources.Energy Policy, Economics and Management.Computational Intelligence.Simulation and Modeling.Applications of Nonlinear Dynamics and Chaos Theory.Renewable and Green Energy.006.3Hong Wei-Chiangauthttp://id.loc.gov/vocabulary/relators/aut913784MiAaPQMiAaPQMiAaPQBOOK9910373947203321Hybrid Intelligent Technologies in Energy Demand Forecasting2147609UNINA