Springer Soft Computing in Green and Renewable Energy Systems

Explore the practical application of soft computing and hybrid intelligent systems within the renewable energy sector. This book, part of the Studies in Fuzziness and Soft Computing series, provides a direct guide for understanding how advanced computational methods can improve green energy technologies. Readers will learn how to implement these intelligent systems across multiple stages of energy development. The text covers essential processes including design, modeling, and characterization. It also provides methods for the optimization and performance prediction of various renewable energy systems, making it a valuable resource for those studying computer science, AI, and machine learning applied to sustainable energy solutions.