Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field (Learning and Analytics in Intelligent Systems, 35, Band 35) - Hardcover

 
9783031479083: Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field (Learning and Analytics in Intelligent Systems, 35, Band 35)
Hardcover
ISBN 10: 3031479084 ISBN 13: 9783031479083
Verlag: Springer, 2024

Inhaltsangabe

​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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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 inenergy 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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031479084
ISBN 13 
9783031479083
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
240
Herausgeber
Doukas Haris, Marinakis Vangelis, Sarmas Elissaios
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783031479113: Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field (Learning and Analytics in Intelligent Systems, 35, Band 35)

Vorgestellte Ausgabe

ISBN 10:  3031479114 ISBN 13:  9783031479113
Verlag: Springer, 2025
Softcover