Data-driven control for scalable solutions. Tested in both simulation and experiments.
The new control method can easily adjust to work with many different energy systems, making it versatile and easy to apply on a large scale. It doesn't require a lot of fine-tuning, which helps it handle changes and unexpected events smoothly. This makes it a practical tool for managing energy use in various settings, from homes to larger buildings.
We introduce a new predictive control method that improves accuracy by accounting for errors and disturbances with minimal adjustments needed. The method shows significant energy savings and broad applicability across different systems, as demonstrated through simulations and real-world experiments..