Description
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems.
Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
Author's/Editor's Biography
Mohamed Mellal (Ed.)
Mohamed Arezki Mellal has a PhD in Mechatronics. He is an Associate Professor (with Accreditation to Supervise Research) at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Algeria. He has published in several journals such as: Reliability Engineering & System Safety, Energy, International Journal of Advanced Manufacturing Technology, ISA Transactions, Journal of Intelligent Manufacturing and conferences. He was also a committee member of over sixty international conferences. He serves as a regular reviewer for several SCI journals. His research interests include mechatronics and soft computing methods for engineering problems. He undertaken several research visits and undergo a visiting scholar at the University of Maryland (USA).