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Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 303036531X ISBN 13: 9783030365318
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hybrid Intelligent Technologies in Energy Demand Forecasting | Wei-Chiang Hong | Taschenbuch | xii | Englisch | 2021 | Springer | EAN 9783030365318 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 303036531X ISBN 13: 9783030365318
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Lingua: Inglese
Editore: Springer International Publishing Jan 2021, 2021
ISBN 10: 303036531X ISBN 13: 9783030365318
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 303036531X ISBN 13: 9783030365318
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the most advanced and accurate energy demand forecasting models Demonstrates how cutting-edge hybrid intelligent technologies can be combined with traditional modelsIncludes a wealth of examples and illustrations to demonstrat.
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Lingua: Inglese
Editore: Springer, Birkhäuser Jan 2021, 2021
ISBN 10: 303036531X ISBN 13: 9783030365318
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.