|
|
|||
|
||||
OverviewThis book aims to explore the intersection of computational intelligence techniques and renewable energy technologies, serving as a valuable resource for researchers, engineers, and policymakers. By compiling cutting-edge research and innovative applications, it seeks to demonstrate how CI can contribute to a more sustainable future, highlighting both theoretical advancements, practical implementations, and future directions. Nowadays, as the world faces the pressing challenges of climate change and the depletion of fossil fuel resources, the shift toward decarbonization and renewable energy systems has become a vital priority. Innovations in computational intelligence (CI) offer promising opportunities to optimize and manage energy production, distribution, and consumption. By leveraging techniques like nature-inspired optimization algorithms, fuzzy methods, machine learning, and clustering, researchers and practitioners can enhance the efficiency and management of renewable energy systems. Full Product DetailsAuthor: Mohamed Arezki Mellal , Yusuke Nojima , Naoki MasuyamaPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG ISBN: 9783032067319ISBN 10: 3032067316 Pages: 533 Publication Date: 03 January 2026 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||