AI Driven Transformation: Advancing Clean Energy in Contemporary Power Systems

ABSTRACT: This paper presents a concise analysis of the critical role Artificial Intelligence (AI) plays in the modernization and sustainability of power systems. It addresses the complex challenges arising from the integration of renewable energy sources, distributed generators, and new technologies like electric vehicle charging stations. AI emerges as a key solution, offering advanced data analysis and decision-making capabilities to enhance efficiency and manage the increasing intricacy of power grids. The study synthesizes insights from the International Energy Agency, notable case studies like Google’s wind power forecasting, and examples from industry leaders, applying a blend of quantitative and qualitative research methods. Through this approach, it evaluates AI’s contributions to grid management, demand response, and operational efficiencies, while also acknowledging the energy demands of AI systems themselves. Key findings highlight AI’s potential in optimizing real-time grid operations and improving consumer services, balanced against challenges such as data privacy and the need for skilled personnel. The paper concludes with strategic recommendations for AI adoption in the energy sector, emphasizing the importance of policy frameworks, international cooperation, and ethical guidelines, as outlined in the EU’s AI Act and OECD AI Principles. In essence, this study underlines AI’s transformative role in driving power systems towards a future that is not only more efficient but also sustainable and resilient, contingent upon a well-coordinated, regulated, and ethically informed approach.

Keywords –Artificial Intelligence (AI), Sustainable Energy, Power System Management, Renewable Energy Integration, Data Analytics