Research Index

A novel approach combining diffusion LLMs with reinforcement learning to optimize electric vehicle charging and microgrid energy management. The system uses parallel generation capabilities of diffusion models to simulate multiple energy scenarios simultaneously while adapting to real-time grid conditions through RL-based optimization.

A novel framework combining large language models' reasoning capabilities with microgrid control systems to enable more intelligent and adaptive power management. The system uses self-certainty metrics and chain-of-thought reasoning to optimize microgrid operations across multiple timescales while handling uncertainties in renewable generation and demand.