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

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發(fā)表于 2025-3-21 17:43:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Decision Making Using AI in Energy and Sustainability
副標(biāo)題Methods and Models f
編輯Gülgün Kayakutlu,M. ?zgür Kayalica
視頻videohttp://file.papertrans.cn/265/264208/264208.mp4
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
叢書名稱Applied Innovation and Technology Management
圖書封面Titlebook: Decision Making Using AI in Energy and Sustainability; Methods and Models f Gülgün Kayakutlu,M. ?zgür 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
關(guān)鍵詞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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發(fā)表于 2025-3-21 22:41:34 | 只看該作者
978-3-031-38389-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 03:44:33 | 只看該作者
Gülgün Kayakutlu,M. ?zgür 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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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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