Curated collection of 39 AI-generated research concepts.
A novel framework combining steerable LLM reasoning (SEAL) with multi-agent microgrid control systems to enhance security, efficiency, and resilience. The system uses LLM-based agents to detect attacks, optimize power distribution, and coordinate responses while maintaining grid stability through calibrated reasoning paths.
A novel framework combining multi-agent formation control and LLM-based reasoning for resilient microgrid management. The system uses distributed agents to maintain optimal power distribution while leveraging LLMs to diagnose faults, suggest recovery strategies, and adapt formation patterns for grid stability.
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.