This book presents a comprehensive exploration of how Artificial Intelligence and Machine Learning are revolutionizing two key technological frontiers: wireless communication and renewable energy. As advanced wireless systems like 5G, 6G, and IoT increasingly integrate with smart grids and distributed energy resources, AI emerges as a catalyst, enhancing signal detection, network scheduling, and energy optimization.

This book examines how intelligent algorithms accelerate device design, improve system control, and enable predictive maintenance across both domains. In wireless networks, AI refines antenna design, spectrum management, and signal processing, driving performance and energy efficiency. In renewable energy, machine learning enhances forecasting, boosts the reliability of solar and wind systems, and supports the development of sustainable mobility and novel energy materials.

Bridging disciplines from electronics and telecommunications to energy and AI, this volume offers both theoretical insights and practical applications. Readers find real-world case studies, examples of tools and frameworks such as neural networks and evolutionary computation, and industrial implementations, particularly in optimizing next-generation wireless systems.

This book is an essential resource for researchers, engineers, and professionals seeking to understand and apply AI-driven solutions in the evolving landscape of wireless and renewable technologies.

Mohammed El Ghzaoui received the Ph.D. degree in Transmission and Data Processing at Sidi Mohamed ben Abdellah University, Morocco, in 2012. From 2013 to 2020, he was a professor at Moulay Ismail University. Since 2021, he has been a professor at Sidi Mohamed Ben Abdellah University. His current research interests include: Multiple Input Multiple Output (MIMO), Orthogonal Frequency Division Multiplexing (OFDM) modulation, Radio Frequency identification, antennas, power line communication (PLC), space–time coding, wireless communication, THz communication system, THz sources design, THz pulse shaping; pulse modulation; Multi Band On Off Keying; THz channel Modeling, 5G applications, Renewable energies. He has published more than 150 research articles and several book chapters, and he has also edited two books entitled “Terahertz Wireless Communication Components and System Technologies," and " Next Generation Wireless Systems- Advances in Optical, mm-Wave, and THz Technologies", published by Springer in 2022 and 2024, respectively.

Sudipta Das holds B.Tech. and M.Tech. degrees from MAKAUT and a Ph.D. from the University of Kalyani. He is a professor in the Electronics and Communication Engineering Department at IMPS College of Engineering & Technology, with 16 years of teaching and 14 years of research experience. His work focuses on microstrip antennas, THz systems, flexible antenna design, metamaterials, graphene-based photonic structures, and ML-based optimization. He has published over 290 research articles, authored one book, and edited six volumes with Springer. He was listed in Marquis Who’s Who in the World (2016). In 2019, he received the “Outstanding Teacher in Electronics & Communication Engineering” award. He has been recognized among the World’s Top 2% Scientists according to the Stanford University and Elsevier rankings for two consecutive years 2025 and 2026.

K. Vasu Babu earned his B.Tech. in Electronics & Communication Engineering from JNTUH in 2006, M. Tech in Digital Electronics & Communication Systems from JNTUK in 2010, and Ph.D. in MIMO Antennas from Sri Venkateswara University in 2020. He specializes in microwave, optical, and THz devices, including antennas, absorbers, and microwave filters. Currently, he focuses on THz MIMO design and absorbers. He has authored over 54 research articles and presented at 15 conferences. Additionally, he reviews for several peer-reviewed journals. He has been recognized among the World’s Top 2% Scientists according to the Stanford University and Elsevier rankings for three consecutive years 2024, 2025 and 2026.

Varalakshmi Subramanian is working as a Professor in the Integrated Electronics Department, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Engineering, Chennai 602105, Tamil Nadu, India. She has about 25 years of total experience, out of which 20 years are in teaching & Research, and 5 years in Industry. She received her B.E. degree in ECE from Madras University, M.E and Ph.D. degrees from Anna University, Chennai. She has published many research papers in refereed international Journals. Her area of interest includes Cognitive Radio Networks, Image processing, AI, ML, and Metamaterial Antenna, Absorber, etc.

Gorre Naga Jyothi Sree received her B.Tech. in Electronics & Communication Engineering (2011) and M.Tech in Digital Electronics & Communication Systems (2014) from JNTUK, Andhra Pradesh, India, and her Ph.D. in MIMO Antennas for 5G applications from VFSTR University, Guntur, in 2023. Her research spans microwave, optical, and THz devices, including antennas, absorbers, filters, characteristic mode analysis, dielectric resonator antennas, metamaterials, and MIMO design using genetic and machine learning algorithms. She is currently focused on THz MIMO systems, breast tumor detection, and absorber design.