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. The 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 multi-criteria decision-making (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 focus on the application of multi-criteria decision-making 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. – Provides a set of multi-criteria 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
Mohamed Abdel-Basset & Mohamed Elhoseny
Multi-Criteria Decision-Making for Renewable Energy [EPUB ebook]
Methods, Applications, and Challenges
Multi-Criteria Decision-Making for Renewable Energy [EPUB ebook]
Methods, Applications, and Challenges
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Ngôn ngữ Anh ● định dạng EPUB ● ISBN 9780443133893 ● Nhà xuất bản Elsevier Science ● Được phát hành 2023 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 9229596 ● Sao chép bảo vệ Adobe DRM
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