Advancing the Clean Energy Frontier Through AI-Powered Green Innovation

Name: Advancing the Clean Energy Frontier Through AI-Powered Green Innovation
Price: 421.42 AUD
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ISBN: 9798337355412

Ben Othman Soufiane, Mohieddine Rahmouni

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English

Engineering Science Reference
26 November 2025

Energy; Sustainability; Artificial intelligence

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.

Edited by: Ben Othman Soufiane, Mohieddine Rahmouni
Imprint: Engineering Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337355412
Pages: 490
Publication Date: 26 November 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Ben Othman Soufiene is an Assistant Professor of computer science at the King Faisal University 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 140 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 , Ph.D., is an Associate Professor of Economics at the Applied College, King Faisal University (Al-Ahsa, Saudi Arabia), and at the High School of Economic and Commercial Sciences of Tunis (ESSECT), University of Tunis, Tunisia. He earned his Ph.D. in Economics through a joint doctoral program between the University of Montesquieu Bordeaux IV (now the University of Bordeaux), France, and the University of Tunis. His research lies at the intersection of innovation economics, applied econometrics, productivity analysis, and industrial dynamics, with a particular focus on economic development and structural transformation in emerging economies. Dr. Rahmouni’s scholarly work has been published in reputable international journals such as Structural Change and Economic Dynamics, the Journal of Industrial and Business Economics, and the International Journal of Innovation and Technology Management. His research explores the role of external knowledge sources, the determinants of innovation performance, and the policy mechanisms that influence firm-level productivity and competitiveness. Through rigorous empirical analysis, he contributes to advancing the understanding of how innovation systems and policy frameworks shape economic growth and industrial development in transitioning and emerging markets.