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Hardcover. Condition: Sehr gut. 1. Auflage. Unread book in excellent condition. Privately owned. Language - English. Ships from Berlin.
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Understanding Risks and Uncertainties in Energy and Climate Policy
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 1013275721 ISBN 13: 9781013275722
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.12
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Understanding Risks and Uncertainties in Energy and Climate Policy
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 101327573X ISBN 13: 9781013275739
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 48.60
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Understanding Risks and Uncertainties in Energy and Climate Policy: Multidisciplinary Methods and Tools for a Low Carbon Society
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 50.80
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Understanding Risks And Uncertainties In
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Hardcover. Condition: Brand New. 259 pages. 9.50x6.25x1.00 inches. In Stock.
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Condition: New.
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Understanding Risks and Uncertainties in Energy and Climate Policy
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 1013275721 ISBN 13: 9781013275722
Condition: 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.
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Understanding Risks and Uncertainties in Energy and Climate Policy
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 101327573X ISBN 13: 9781013275739
Condition: 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.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book analyzes and seeksto 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 policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies' implications for the agricultural, food, building, transportation, service and manufacturing sectors.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Multicriteria Portfolio Construction with Python (Springer Optimization and Its Applications, 163)
Book 154 of 176: Springer Optimization and Its ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Multicriteria Portfolio Construction with Python (Springer Optimization and Its Applications)
Book 154 of 176: Springer Optimization and Its ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 117.36
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Artificial Intelligence for Energy Systems: Driving Intelligent, Flexible and Optimal Energy Management (Learning and Analytics in Intelligent Systems, 46)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 137.84
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Understanding Risks and Uncertainties in Energy and Climate Policy
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 101327573X ISBN 13: 9781013275739
hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Machine Learning Applications for Intelligent Energy Management (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031479084 ISBN 13: 9783031479083
Hardcover. Condition: 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.
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Hardcover. Condition: Brand New. 185 pages. 9.25x6.10x9.21 inches. In Stock.
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Taschenbuch. Condition: 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.
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Condition: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: 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.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
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Buch. Condition: 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.
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Taschenbuch. Condition: 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.
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Artificial Intelligence for Energy Systems: Driving Intelligent, Flexible and Optimal Energy Management
Language: English
Published by Springer-Nature New York Inc, 2025
ISBN 10: 3031852087 ISBN 13: 9783031852084
Hardcover. Condition: Brand New. 283 pages. 9.25x6.10x9.25 inches. In Stock.
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Hardcover. Condition: Brand New. 240 pages. 9.26x6.10x0.63 inches. In Stock.
