Research Index

A novel framework combining LLM-guided reinforcement learning with dynamic wireless power transfer systems for optimizing vehicle-to-grid (V2G) energy distribution. The system uses natural language interfaces to coordinate between human operators, electric vehicles, and power grid infrastructure while incorporating real-time power transfer optimization.

A novel framework combining wireless power transfer technology with multi-agent LLM systems to create self-healing, adaptive energy distribution networks. The system uses AI to optimize power transfer paths, predict equipment failures, and automatically reroute energy flow while maintaining system stability under various attack scenarios.