Overview

The convergence of artificial intelligence (AI) and clean energy innovation transforms global sustainability efforts. As climate challenges and growing energy demands increase, AI-powered technologies emerge as catalysts for efficiency, scalability, and smart decision-making for green energy. From optimizing renewable energy to predict fluctuations and accelerating materials discovery, AI redefines the clean energy frontier. By integrating data-driven intelligence with sustainable engineering, this new wave of innovation may reduce carbon emissions while reshaping the way organizations harness and manage energy for a cleaner, smarter planet. Advancing the Clean Energy Frontier Through AI-Powered Green Innovation explores how AI accelerates the development and deployment of clean energy technologies, serving as a catalyst for a sustainable energy transition. It examines AI-driven innovations, addressing ethical imperatives like data equity, algorithmic bias, and inclusive access. This book covers topics such as renewable energy, machine learning, and sustainable transport, and is a useful resource for engineers, business owners, academicians, researchers, and data scientists.

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9798337355412

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Ben Othman Soufiene is an Assistant Professor of computer science at the Applied College, King Faisal University, Saudi Arabia from 2025. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on “Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. My research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data. Dr. Ben Othman has published more than 120 papers at reputed international journals, conferences, and book chapters. He is an Editorial Board Member in the different Journals and Conferences. He serves as an associate editor/academic editor for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, Telecommunication Computing Electronics and Control, and Wiley. Dr. Ben Othman is a Technical Program Committee Member for more than a dozen of international conferences. Dr. Mohieddine Rahmouni is an Associate Professor of Economics and Quantitative Methods at King Faisal University and the University of Tunis (Higher School of Economic and Commercial Sciences of Tunis). He earned his Ph.D. through a joint program between the University of Montesquieu Bordeaux-IV and the University of Tunis. Dr. Rahmouni's research spans the economics and econometrics of innovation, applied econometrics, productivity, technology, and industrial dynamics, with a focus on the intersections of these fields in driving economic development and industrial transformation.

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