English Version
館藏查詢
他校館藏
  
   系統號碼945136
   書刊名Decision making using AI in energy and sustainability [electronic resource] : methods and models for policy and practice /
   主要著者edited by Gulgun Kayakutlu, M. Ozgur Kayalica.
   其他著者Kayakutlu, Gulgun.;Kayalica, M. Ozgur.
   出版項Cham : Imprint: Springer, 2023.
   索書號TJ808.D43 2023
   ISBN9783031383878
   標題Renewable energy sources-Data processing.
Power resources-Management-Data processing.
Artificial intelligence-Industrial applications.
Artificial intelligence-Environmental aspects.
   電子資源https://doi.org/10.1007/978-3-031-38387-8
   叢書名Applied innovation and technology management,2662-9410;Applied innovation and technology management.2662-9410
   
    
   分享▼ 
網站搜尋           

無紙本館藏記錄

內容簡介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.

讀者書評

尚無書評,


  
Copyright © 2007 元智大學(Yuan Ze University) ‧ 桃園縣中壢市 320 遠東路135號 ‧ (03)4638800