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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 239,93
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Añadir al carritoPaperback. Condición: New. Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: moluna, Greven, Alemania
EUR 211,50
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Añadir al carritoCondición: New. Provides a foundation with the fundamental principles and strategies for reliability and resilienceIntroduces the readers to a toolbox of AI methodologies with a variety of applicationsLeverages clear chapter objectives, worked pro.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 277,45
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Añadir al carritoPaperback. Condición: New. Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 244,62
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Añadir al carritoPaperback. Condición: New. Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 284,74
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Añadir al carritoPaperback. Condición: Brand New. 300 pages. 9.00x6.00x9.02 inches. In Stock.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: Rarewaves.com UK, London, Reino Unido
EUR 263,87
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Añadir al carritoPaperback. Condición: New. Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division Jan 2026, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 295,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 163,80
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Añadir al carritoPaperback. Condición: new. Paperback. Artificial Intelligence for Reliability and Maintainability of Energy Systems This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 153,91
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 173,84
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Añadir al carritoPaperback. Condición: Brand New. 300 pages. 9.00x6.00x9.02 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
Librería: CitiRetail, Stevenage, Reino Unido
EUR 168,74
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.