This research introduces an innovative approach to electric vehicle charging optimization by combining Large Language Models with Graph Neural Networks.

• Creates a hybrid AI system that handles both sequential data and complex grid relationships
• Addresses the limitations of traditional optimization methods in high-dimensional, dynamic EV charging scenarios
• Enables real-time charging decisions that maintain grid stability with increasing EV adoption
• Demonstrates a practical application of advanced AI to critical infrastructure management

This engineering breakthrough offers a scalable solution for managing the growing impact of electric vehicles on power grids, potentially enabling faster EV adoption without compromising electrical system reliability.

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks