AI Framework Cuts Costs and Enhances Reliability in Power Sector, Study Finds

A KAPSARC study examines how AI can more effectively bridge the gap between data-driven insights and policy decision-making in the power sector.

The study introduces an innovative framework that combines advanced analytics, dynamic line rating, and large language models to support more efficient planning and operations. When applied to a simulated heatwave scenario, the approach reduced operating costs and renewable energy curtailment by over 16% while maintaining system reliability.

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