Doukas haris (85 résultats)

Hardcover. Etat : Sehr gut. 1. Auflage. Unread book in excellent condition. Privately owned. Language - English. Ships from Berlin.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Hardcover. Etat : Brand New. 259 pages. 9.50x6.25x1.00 inches. In Stock.

Etat : New.

Etat : New. KlappentextrnrnThis open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate polic.

Etat : New. KlappentextrnrnThis open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate polic.

hardcover. Etat : Good.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : New.

hardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Hardcover. Etat : Brand New. 240 pages. 9.26x6.10x0.63 inches. In Stock.

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.…

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Brand New. 185 pages. 9.25x6.10x9.21 inches. In Stock.

Etat : New.

Gebunden. Etat : New. 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.

Taschenbuch. Etat : Neu. Machine Learning Applications for Intelligent Energy Management | Invited Chapters from Experts on the Energy Field | Haris Doukas (u. a.) | Taschenbuch | Learning and Analytics in Intelligent Systems | xiv | Englisch | 2025 | Springer | EAN 9783031479113 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to energy management and efficiency while addressing a scientific gap in the development of advanced algorithmic methods to solve these problems. More specifically, the focus is on the development of models and algorithms for problems falling into three broader categories, namely: (a) Distributed Energy Generation, (b) Microgrid Flexibility, and (c) Building Energy Efficiency. Artificial Intelligence models and mathematical optimization techniques are developed and presented for applications related to each of these categories, through a thorough analysis of the fundamental parameters of each application as well as the interactions among them. 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.…