Computational intelligence for a greener future : innovations in renewable energy systems : integrating AI and behavioral insights to drive economic efficiency and sustainability

• Material Type: 図書
• ISBN: 9783032067319 hardback; 3032067316 hardback
• ISSN (series): 1860-949X
• Title: Computational intelligence for a greener future : innovations in renewable energy systems : integrating AI and behavioral insights to drive economic efficiency and sustainability
• Author/Editor: Mohamed Arezki Mellal, Yusuke Nojima, Naoki Masuyama, editors
• Series Title: Studies in computational intelligence ; volume 1240
• Title Heading: Studies in computational intelligence ; v. 1240. 1860-9503
• Author Heading: Mellal, Mohamed Arezki; Nojima, Yusuke [能島裕介]; Masuyama, Naoki [増山直輝]
• Publication, Distribution, etc.: Cham, Switzerland : Springer (出版)
• Publication Date: [2026]; 著作権日付 : ©2026
• Publication Date (W3CDTF): 2026
• Extent: vii, 533 pages
• Other physical details: illustrations
• Size: 25 cm
• Alternative Title: Innovations in renewable energy systems; Integrating AI and behavioral insights to drive economic efficiency and sustainability; Integrating artificial intelligence and behavioral insights to drive economic efficiency and sustainability
• Place of Publication (Country Code): CH
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Sustainable development--Technological innovations; Artificial intelligence--Environmental aspects; Computational intelligence; Développement durable--Innovations; Intelligence artificielle--Aspect de l'environnement; Intelligence informatique
• LCC: HC79.E5
• DDC: 006.3
• NDLC: EG281
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Collection (particular): 日本関係外国語図書
• Holding library: 国立国会図書館
• Call No.: EG281-D238
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 034346559; http://id.ndl.go.jp/bib/034346559
• OCLC No.: 1586830994; https://www.worldcat.org/oclc/1586830994
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: A review of the genetic algorithm approach in predictive maintenance and energy forecasting / Enis MuratovićDeep reinforcement learning in energy man...
• Summary, etc.: This book aims to explore the intersection of computational intelligence techniques and renewable energy technologies, serving as a valuable resource ...