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AI-Powered Smart Grids: Enhancing Energy Efficiency in Rail Systems [Video]

A distinguished expert in energy and technology systems, Sujith Kumar Kupunarapu explores the integration of AI-powered smart grids in rail operations. His focus on innovative solutions that enhance energy efficiency and sustainability underscores the transformative potential of these advanced technologies.

Reimagining Power Distribution AI-powered smart grids advance beyond conventional power networks by integrating AI algorithms into modern infrastructures. These grids enable real-time data analysis, predictive modeling, and autonomous decision-making. Advanced metering infrastructure plays a crucial role, offering continuous energy usage data for precise, dynamic power adjustments that efficiently balance supply and demand.

Core Components and Their Functions AI-driven smart grids rely on interconnected components that enhance efficiency. Advanced Metering Infrastructure enables real-time monitoring of energy use and performance. Distributed Energy Resources integrate renewable sources like solar and wind to promote sustainability. Energy Storage Systems utilize AI to optimize charge cycles, storing energy during low demand and distributing it during peak times. Communication Networks facilitate data flow, improving power distribution management.

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