Description
| Product ID: | 9780443133787 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Multi-Criteria Decision-Making for Renewable Energy |
| Subtitle: | Methods, Applications, and Challenges |
| Authors: | Author: Abduallah Gamal, Mohamed, Ph.D Abdel-Basset, Mohamed Elhoseny, Md Alamgir Hossain |
| Page Count: | 300 |
| Subjects: | Economic forecasting, Economic forecasting, Energy industries and utilities, Energy technology and engineering, Alternative and renewable energy sources and technology, Artificial intelligence, Machine learning, Energy industries & utilities, Energy technology & engineering, Alternative & renewable energy sources & technology, Artificial intelligence, Machine learning |
| Description: | Select Guide Rating 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. |
| Imprint Name: | Elsevier - Health Sciences Division |
| Publisher Name: | Elsevier - Health Sciences Division |
| Country of Publication: | GB |
| Publishing Date: | 2023-10-24 |
