Mohamed, Ph.DAbdel-Basset,MohamedElhoseny,AbduallahGamal,Md AlamgirHossain
Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges
Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges
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The book "Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges" discusses the application of fuzzy and soft computing methods, models, and algorithms to renewable energy, addressing factors affecting development, environmental, economic, and social barriers, and exploring opportunities and research directions.
Format: Paperback / softback
Length: 300 pages
Publication date: 01 October 2023
Publisher: Elsevier - Health Sciences Division
Renewable Energy: A Comprehensive Approach
Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges is a groundbreaking book that delves into the latest fuzzy and soft computing methods, models, and algorithms applied to the field of renewable energy. Supported by specific application examples and case studies, this comprehensive resource explores the development of renewable energy sources, the challenges they face, and the factors that impact their growth. It also examines green renewable energy sites and the utilization of fuzzy multi-criteria decision-making (MCDM) techniques in addressing environmental, economic, and social barriers to ensuring the sustainability of energy resources.
The book is organized into detailed chapters that focus on the application of multi-criteria decision-making methods in various areas of renewable energy. These areas include solar energy, wind farms, solar-powered hydrogen production plants, biofuel production, energy storage, hydropower, and marine energy. Each chapter provides a comprehensive overview of the relevant methods, models, and algorithms, enabling readers to apply them effectively in their renewable energy projects.
Furthermore, the book explores future opportunities and research directions in the field of renewable energy. It discusses emerging technologies, such as artificial intelligence, machine learning, and big data analytics, that have the potential to revolutionize the renewable energy industry. It also highlights the importance of interdisciplinary collaboration and the need for sustainable practices in renewable energy development.
In conclusion, Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges is a vital resource for professionals, researchers, and students interested in advancing the field of renewable energy. It provides a comprehensive understanding of the latest techniques, models, and algorithms, as well as their applications in specific renewable energy areas. By exploring future opportunities and research directions, the book contributes to the development of a more sustainable and resilient energy future.
Weight: 450g
Dimension: 229 x 151 (mm)
ISBN-13: 9780443133787
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