Title: Harnessing Artificial Intelligence and Blockchain Technology to Revolutionize Decentralized Renewable Energy Systems for a Sustainable Future
Authors: James Paul Onoja, Oladimeji Hamza, Anuoluwapo Collins, Ubamadu Bright Chibunna, Adeoluwa Eweja, Andrew Ifesinachi Daraojimba
Volume: 9
Issue: 3
Pages: 463-469
Publication Date: 2025/03/28
Abstract:
The transition to sustainable energy systems is essential for addressing the global challenges of climate change, energy security, and equitable access. This paper explores the transformative potential of integrating artificial intelligence (AI) and blockchain technology into decentralized renewable energy systems. By combining AI's capabilities in optimizing energy generation, storage, and distribution with blockchain's secure and transparent transaction mechanisms, this integration enhances efficiency, resilience, and democratization of energy markets. Key benefits include reducing carbon emissions, adopting renewable energy, and empowering communities through decentralized energy networks. The paper also examines technical, regulatory, and scalability challenges while highlighting emerging trends and future research directions. Actionable recommendations for policymakers, researchers, and industry leaders underscore the critical steps needed to overcome these barriers and fully harness the potential of these technologies. This interdisciplinary approach positions AI and blockchain as pivotal drivers of a sustainable and equitable energy future.