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9781032392905 - Big Data Analytics Framework for Smart Grids Explainable Ai Xai for Engineering Applications (16 results)
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£ 152.01
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Big Data Analytics Framework for Smart Grids
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 143.23
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Big Data Analytics Framework for Smart Grids
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032392908 ISBN 13: 9781032392905
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 143
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 677.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: As New. Unread book in perfect condition.
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Big Data Analytics Framework for Smart Grids (Explainable AI (XAI) for Engineering Applications)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 156.02
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£ 182.39
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Big Data Analytics Framework for Smart Grids
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 171.88
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Big Data Analytics Framework for Smart Grids
Published by Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032392908 ISBN 13: 9781032392905
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
First Edition
£ 233.94
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Add to basketHardback. Condition: New. 1st. The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning-based computing.Presents a detailed state-of-the-art analysis of big data analytics and its uses in power gridsDescribes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart metersExplores the role of the internet of things, artificial intelligence, and machine learning in smart gridsDiscusses edge analytics for integration of generation technologies, and decision-making approaches in detailExamines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworksThe text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.
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£ 207.55
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Add to basketHardcover. Condition: Brand New. 288 pages. 9.19x6.13x0.63 inches. In Stock.
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Big Data Analytics Framework for Smart Grids (Explainable AI XAI for Engineering Applications)
First Edition
£ 212.51
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Big Data Analytics Framework for Smart Grids
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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£ 163.33
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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£ 157.25
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. R. K. Viral is presently working as an Associate Professor in Department of Electrical & Electronics Engineering, Amity School of Engg. & Tech., Amity University, Noida, UP, INDIA. Additionally, he has more than 16-year teaching .
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£ 181.72
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management system, artificial intelligence, and machine learning based computing.
