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Titlebook: Decision Making Using AI in Energy and Sustainability; Methods and Models f Gülgün Kayakutlu,M. Özgür Kayalica Book 2023 The Editor(s) (if

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发表于 2025-3-21 17:43:10 | 显示全部楼层 |阅读模式
书目名称Decision Making Using AI in Energy and Sustainability
副标题Methods and Models f
编辑Gülgün Kayakutlu,M. Özgür Kayalica
视频video
概述Explores energy and sustainability issues throughout the globe.Provides new models and algorithms for AI applications in energy and sustainability.Features topics such as smart cities, food production
丛书名称Applied Innovation and Technology Management
图书封面Titlebook: Decision Making Using AI in Energy and Sustainability; Methods and Models f Gülgün Kayakutlu,M. Özgür Kayalica Book 2023 The Editor(s) (if
描述.Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing‘s (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields.  Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers. .
出版日期Book 2023
关键词European Green Deal; The UN SDGs; Sustainable circular supplier selection; Solar Radiation; Electricity
版次1
doihttps://doi.org/10.1007/978-3-031-38387-8
isbn_softcover978-3-031-38389-2
isbn_ebook978-3-031-38387-8Series ISSN 2662-9402 Series E-ISSN 2662-9410
issn_series 2662-9402
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 22:41:34 | 显示全部楼层
978-3-031-38389-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-22 03:44:33 | 显示全部楼层
Gülgün Kayakutlu,M. Özgür KayalicaExplores energy and sustainability issues throughout the globe.Provides new models and algorithms for AI applications in energy and sustainability.Features topics such as smart cities, food production
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Decision Making Using AI in Energy and Sustainability978-3-031-38387-8Series ISSN 2662-9402 Series E-ISSN 2662-9410
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发表于 2025-3-22 17:58:41 | 显示全部楼层
Natalia M. Markovich,Udo R. Krieger0, and ensuring its citizens a sustainable, prosperous, and inclusive future. The energy sector is central to this ambition, as the European Commission’s objectives are, among others, to increase the efficiency of energy production by establishing a fully integrated, interconnected, and digitalized
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Data Types For Database Programmingt by external shocks that can find and exploit these weaknesses. Climate change (CC) is increasingly becoming a main stressor for such shocks in supply chain management (SCM). In this chapter, significant risks and their interrelations in supply chains are explored. The risk evaluation is carried ou
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