Multi-Criteria Decision-Making for Renewable Energy; Methods, Applications, and Challenges brings together the latest fuzzy and soft computing methods, models, and algorithms, as applied to the field of renewable energy and supported by specific application examples and case studies. This book begins by approaching renewable energy sources, challenges, and factors that affect their development, as well as green renewable energy sites, and the utilization of fuzzy multicriteria decisionmaking (MCDM) techniques in these broad contexts, as well as utilization in addressing the various environmental, economic, and social barriers to ensuring the sustainability of energy resources. Detailed chapters then focus on the application of MCDM methods for planning, modeling, and prioritization in specific areas of renewable energy, including solar energy, wind farms, solar-powered hydrogen production plants, biofuel production, energy storage, hydropower, and marine energy. Finally, future opportunities and research directions are explored. This is a valuable resource for all those with an interest in multicriteria analysis, fuzzy logic, algorithms, intelligent systems, and modelling for renewable energy, including researchers, scientists, advanced students, engineers, R&D professionals, and other industry personnel. Key Features Provides a set of multicriteria techniques to address challenges across renewable energy, Reviews and analyzes the current state of the art and identifies future opportunities and directions, Offers clear examples, case studies, and practical applications of the described concepts.