Curated collection of 39 AI-generated research concepts.
A novel system combining multi-agent LLMs and dynamic wireless power transfer to optimize real-time charging for autonomous EV fleets. The system uses predictive analytics to coordinate vehicle movements and charging infrastructure, while defending against potential cyber-attacks through secure multi-agent protocols.
A novel system that combines LLM-based multi-agent systems with wireless power transfer networks to create resilient, self-optimizing power distribution systems. The system continuously adapts to failures, misalignments, and changing power demands while maintaining optimal efficiency through intelligent agent coordination.
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.