This research explores how large language models can revolutionize demand side management in microgrids with electric vehicle integration.

• Introduces AI-driven automation for optimizing EV charging schedules
• Addresses key challenges in demand side management for vehicle-to-grid systems
• Provides framework for intelligent energy distribution across connected EV networks
• Demonstrates how LLMs can enhance decision-making in energy optimization

For engineering professionals, this research offers practical approaches to improving microgrid efficiency and sustainability through strategic deployment of generative AI in energy management systems.

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles