Research Index

A novel approach combining test-time reinforcement learning (TTRL) with microgrid energy management to create self-optimizing power systems. The system continuously learns from operational data without requiring explicit labels, enabling real-time adaptation to changing conditions while maintaining grid stability and optimizing energy usage patterns.