Agentic HEMS: LLM-Driven Grid Flexibility
A multi-agent framework using LLMs to autonomously coordinate residential load scheduling and price-responsive demand.
Exploring the intersection of Computer Vision, Physics-Informed ML, and Industrial Systems.
A multi-agent framework using LLMs to autonomously coordinate residential load scheduling and price-responsive demand.
A Python-based simulation engine for modeling the interaction between PV generation, battery storage, and stochastic residential loads.
Automated computational geometry for high-density solar array placement on complex industrial rooftops.
Using Attention-gated U-Nets for SEM imagery.
Edge-AI for high-precision power line and vegetation encroachment detection.