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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032224789 ISBN 13 : 9781032224787
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 55,85
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book aims to provide practical aspects of, and an introduction to, the applications of various technological advancement tools, such as AI, machine learning to design, big data, cloud computing, and IoT, to model, characterize, optimize, forecast, and do performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.Features:Covers technologies considered to explore, predict, and perform operation and maintenance of renewable energy sourcesAids in the design and use of renewable energy sources, including the application of artificial intelligence in a real-time environmentIncludes IoT, cloud computing, big data, smart grid, and different optimization techniques for resource forecasting, installation, operation, and optimization of energyDiscusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirementsReviews the concepts and challenges involved in the implementation of smart gridsThis book is aimed at researchers and graduate students in renewable energy engineering, computer and mechanical engineering, novel technologies, and intelligent systems. This book aims to provide practical aspects and introduction to the application of various technological advancement tools viz. AI, ML, and IoT to model, characterize, optimize, forecast, and performance prediction of renewable energy exploitation including existing policies & case studies for understanding of renewable energy generation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 246 pages. 9.18x6.12x9.21 inches. In Stock.
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032224789 ISBN 13 : 9781032224787
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 73,13
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book aims to provide practical aspects of, and an introduction to, the applications of various technological advancement tools, such as AI, machine learning to design, big data, cloud computing, and IoT, to model, characterize, optimize, forecast, and do performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.Features:Covers technologies considered to explore, predict, and perform operation and maintenance of renewable energy sourcesAids in the design and use of renewable energy sources, including the application of artificial intelligence in a real-time environmentIncludes IoT, cloud computing, big data, smart grid, and different optimization techniques for resource forecasting, installation, operation, and optimization of energyDiscusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirementsReviews the concepts and challenges involved in the implementation of smart gridsThis book is aimed at researchers and graduate students in renewable energy engineering, computer and mechanical engineering, novel technologies, and intelligent systems. This book aims to provide practical aspects and introduction to the application of various technological advancement tools viz. AI, ML, and IoT to model, characterize, optimize, forecast, and performance prediction of renewable energy exploitation including existing policies & case studies for understanding of renewable energy generation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 101,41
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EUR 119,53
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Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 120,15
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 123,95
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032224789 ISBN 13 : 9781032224787
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 69,21
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book aims to provide practical aspects of, and an introduction to, the applications of various technological advancement tools, such as AI, machine learning to design, big data, cloud computing, and IoT, to model, characterize, optimize, forecast, and do performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.Features:Covers technologies considered to explore, predict, and perform operation and maintenance of renewable energy sourcesAids in the design and use of renewable energy sources, including the application of artificial intelligence in a real-time environmentIncludes IoT, cloud computing, big data, smart grid, and different optimization techniques for resource forecasting, installation, operation, and optimization of energyDiscusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirementsReviews the concepts and challenges involved in the implementation of smart gridsThis book is aimed at researchers and graduate students in renewable energy engineering, computer and mechanical engineering, novel technologies, and intelligent systems. This book aims to provide practical aspects and introduction to the application of various technological advancement tools viz. AI, ML, and IoT to model, characterize, optimize, forecast, and performance prediction of renewable energy exploitation including existing policies & case studies for understanding of renewable energy generation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 127,11
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 167,18
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 159,73
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 164,12
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 181,40
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 219,90
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Ajouter au panierHardcover. Etat : Brand New. 256 pages. 9.18x6.12x0.75 inches. In Stock.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 77,77
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 90,93
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to provide practical aspects and introduction to the application of various technological advancement tools viz. AI, ML, and IoT to model, characterize, optimize, forecast, and performance prediction of renewable energy exploitation including existing policies & case studies for understanding of renewable energy generation.