Studies in Computational Intelligence: Integrating AI and Behavioral Insights to Drive Economic Efficiency and Sustainability

Mellal, Mohamed Arezki; Nojima, Yusuke; Masuyama, Naoki

This 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.

Details

Published by: Springer

Publication Date: 2026-01-03

Format: Hardcover

ISBN-13: 9783032067319

DOI: 10.1007/978-3-032-06732-6

Dimensions: 235cm x155cm

Pages: 533