Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges - Softcover

Abdel-Basset

Softcover

ISBN 10: 0443133786 ISBN 13: 9780443133787

Publisher: Elsevier, 2023

Synopsis

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

About this title

About the Authors

Dr. Mohamed Abdel-Basset is Associate Professor and Head of the Department of Computer Science, within the Faculty of Computers and Informatics, at Zagazig University, Egypt. He received his B.Sc., M.Sc and Ph.D in operations research at the Faculty of Computers and Informatics, Zagazig University. Dr. Abdel-Basset’s research interests are in Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision Support Systems, Robust Optimization, Engineering Optimization, Multiobjective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is currently working on the application of multi-objective and robust meta-heuristic optimization techniques. Dr. Abdel-Basset is an Editor or Reviewer for several international journals and conferences, and has published more than 100 articles in international journals and conference proceedings.

Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.

Dr. Abduallah Gamal is a Researcher based in the Faculty of Computers and Informatics at Zagazig University, Egypt. His areas of interest include Computation Intelligence, Optimization, Swarm Intelligence, Evolutionary Algorithms, and Neutrosophic Sets and Logic.

Dr. Md Alamgir Hossain is currently working as a Research Fellow at Queensland Micro-and Nano-technology Centre, Griffith University, Australia. Previously he worked as a Postdoc Research Associate at the University of New South Wales (UNSW), Australia, and an Assistant Professor in the Electrical and Electronic Engineering (EEE) department at the Dhaka University of Engineering & Technology (DUET), Bangladesh. His research interests include hydrogen DC microgrids, renewable energy integration, ocean energy, artificial intelligence, optimization algorithms, energy prediction, robust control, energy management systems, and energy storage systems. Dr. Hossain has published over 30 high-impact journal papers in his specialist field, and has extensive working experience in control systems, optimization algorithms, and artificial intelligence for the application of renewable energy systems.

From the Back Cover

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 then focus on the application of multi-criteria decision-making methods for planning, modelling, 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 multi-criteria analysis, fuzzy logic, algorithms, intelligent systems, and modelling for renewable energy, including researchers, scientists, advanced students, engineers, R&D professionals, and other industry personnel.

Edition details

• Publisher: Elsevier
• Publication date: 2023
• Language: English
• ISBN 10: 0443133786
• ISBN 13: 9780443133787
• Binding: Paperback
• Number of pages: 254