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Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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Paperback. Zustand: 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.
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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In den WarenkorbPaperback. Zustand: 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.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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In den WarenkorbPaperback. Zustand: 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.
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Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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In den WarenkorbPaperback. Zustand: 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.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division Jan 2026, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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Paperback. Zustand: 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.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443247226 ISBN 13: 9780443247224
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In den WarenkorbPaperback. Zustand: 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.