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 |  | 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 | doi | https://doi.org/10.1007/978-3-031-38387-8 | isbn_softcover | 978-3-031-38389-2 | isbn_ebook | 978-3-031-38387-8Series ISSN 2662-9402 Series E-ISSN 2662-9410 | issn_series | 2662-9402 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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