Smart Grid

This research area focuses on transforming traditional power networks into autonomous, data-driven ecosystems. By integrating advanced signal processing, machine learning, and stochastic optimization, we develop solutions for the seamless integration of distributed renewable energy sources and the enhancement of grid resilience. A core component of our work involves demand-side management, leveraging techniques such as Non-Intrusive Load Monitoring (NILM) and real-time data analytics to optimize energy consumption patterns and ensure a stable, sustainable energy future.