Name: Machine Learning Applications for Intelligent Energy Management. Invited Chapters from Experts on the Energy Field
SKU: 64795674
Price: 2760.00 ZAR
Availability: InStock
Author: Elissaios Sarmas;Vangelis Marinakis;Haris Doukas
ISBN: 9783031479113

portada Machine Learning Applications for Intelligent Energy Management. Invited Chapters from Experts on the Energy Field

Machine Learning Applications for Intelligent Energy Management. Invited Chapters from Experts on the Energy Field

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Elissaios Sarmas;Vangelis Marinakis;Haris Doukas

Collection

Learning and Analytics in Intelligent Systems

Year

2025

Pages

226

Format

Paperback

Dimensions

23.5x15.5 cm

ISBN13

9783031479113

Machine Learning Applications for Intelligent Energy Management. Invited Chapters from Experts on the Energy Field

Elissaios Sarmas;Vangelis Marinakis;Haris Doukas (Author) · Springer International Publishing AG · Paperback

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Synopsis "Machine Learning Applications for Intelligent Energy Management. Invited Chapters from Experts on the Energy Field"

?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.