Research Index

A novel framework combining large language models with hybrid energy storage systems (batteries, hydrogen, supercapacitors) to optimize energy dispatch and storage allocation. The system uses LLMs to analyze weather patterns, market conditions, and historical data to make intelligent storage decisions while incorporating non-linear control techniques for real-time 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.