AI-Powered Smart Grids for Optimized Energy Distribution

Abstract

The integration of artificial intelligence (AI) into smart grid systems has the potential to fundamentally revolutionize the distribution of sustainable energy by enhancing resilience, optimizing efficiency, and enabling the transition to renewable energy sources. AI technologies provide predictive analytics and real-time decision-making, allowing grid operators to dynamically manage energy resources, minimize waste, and ensure reliability despite fluctuating supply and demand patterns. This research investigates the use of artificial intelligence (AI) to enhance the smart grid's ability to integrate renewable energy sources while tackling challenges related to resilience, scalability, and consumer engagement.          
The article illustrates how artificial intelligence (AI) might reconcile the disparity between energy production and consumption, referencing significant results from research. It also investigates the AI revolution in India's energy systems and, as a foundation, analyzes the role of cognitive security in grid resilience. The research employs resilience allocation models and optimization methodologies for wind farm layouts, while also addressing the technical elements of grid architecture to enhance sustainability. The paper ultimately addresses leadership and intergenerational communication in energy sectors, highlighting the significance of stakeholder participation in the transition to AI-driven smart grids. The results indicate that AI is a crucial facilitator of future smart grid systems, promoting a more robust and sustainable energy infrastructure.