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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 163,15
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Da: Chiron Media, Wallingford, Regno Unito
EUR 170,00
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 188,93
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Da: Majestic Books, Hounslow, Regno Unito
EUR 201,24
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EUR 218,35
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 224,64
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 228,17
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Da: Revaluation Books, Exeter, Regno Unito
EUR 276,49
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Aggiungi al carrelloHardcover. Condizione: Brand New. 302 pages. 9.75x6.50x0.75 inches. In Stock.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 163,16
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EUR 162,64
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Anish Jindal:Dr. Anish Jindal is working as a Lecturer (Assistant Professor) in the School of Computer Science and Electronic Engineering (CSEE), University of Essex since Mar 2020. Prior to this, he worked as a senior research associate at the Sc.
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EUR 230,01
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EUR 222,30
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 265,07
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book:Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions.Points to the solutions provided by machine learning to optimize the grids within a smart city set-up.Discusses relevant IoE design principles and architecture.Helps to automate various services in smart cities for energy management.Includes case studies to show the effectiveness of the discussed schemes.