Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field - Couverture rigide
Synopsis
As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector.
The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.
Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
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Machine Learning Applications for Intelligent Energy Management
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Springer Nature Switzerland Feb 2024, 2024
ISBN 10 : 3031479084
ISBN 13 : 9783031479083
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies areenlisted to help enforce energy transition and transform the entire energy sector.The book at hand presents state-of-the-art developments inartificial intelligence-empowered analytics of energy dataandartificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research. 240 pp. Englisch. N° de réf. du vendeur 9783031479083
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Machine Learning Applications for Intelligent Energy Management
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Springer Nature Switzerland, 2024
ISBN 10 : 3031479084
ISBN 13 : 9783031479083
Neuf
Couverture rigide
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents novel applications of AI in the domain of building energy efficiency and smart energy managementProvides detailed paradigms based on real data and real-life applicationsShows a methodological framework of each application in detail. N° de réf. du vendeur 1155872205
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Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field
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Springer, 2024
ISBN 10 : 3031479084
ISBN 13 : 9783031479083
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Machine Learning Applications for Intelligent Energy Management (Hardcover)
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Hardcover. Etat : new. Hardcover. As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector.The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031479083
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Machine Learning Applications for Intelligent Energy Management | Invited Chapters from Experts on the Energy Field
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Springer Nature Switzerland, 2024
ISBN 10 : 3031479084
ISBN 13 : 9783031479083
Neuf
Couverture rigide
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Buch. Etat : Neu. Machine Learning Applications for Intelligent Energy Management | Invited Chapters from Experts on the Energy Field | Haris Doukas (u. a.) | Buch | xiv | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031479083 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 127803379
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Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field (Learning and Analytics in Intelligent Systems, 35)
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Machine Learning Applications for Intelligent Energy Management
ISBN 10 : 3031479084
ISBN 13 : 9783031479083
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -¿As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector.The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. N° de réf. du vendeur 9783031479083
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Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field
Edité par
Springer Nature Switzerland, 2024
ISBN 10 : 3031479084
ISBN 13 : 9783031479083
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies areenlisted to help enforce energy transition and transform the entire energy sector.The book at hand presents state-of-the-art developments inartificial intelligence-empowered analytics of energy dataandartificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints.Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research. N° de réf. du vendeur 9783031479083
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Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field (Learning and Analytics in Intelligent Systems, 35)
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