🧠 Memory-Augmented LLMs for Sustainable Energy

Novel cross-regional European energy management using dual memory architecture and real ENTSO-E data. Demonstrating 35-40% cost reduction potential across 4 major European cities.

€341M
Total Cost Reduction
96.3%
Average Accuracy
4
European Cities
95%
Memory Retention

Energy Demand Forecasting Performance

Model Performance Comparison

Economic Impact Analysis

UbiComp 2025 Submission: Memory-Augmented LLMs for Sustainable Urban Energy Management

Dual Memory Architecture • Real ENTSO-E Data • Cross-Regional Analysis • Sand Battery Integration