Synergy Between Control Theory and Machine Learning for Building Energy Management KU Leuven
The building sector is the largest energy-demanding sector responsible for over one-third of energy use globally and an equally important portion of carbon dioxide (CO2) emissions. Nevertheless, the buildings' heating, ventilation, and air conditioning systems are typically operated using very basic, reactive controllers. Optimal controllers can enhance buildings' energy efficiency by taking forecast and uncertainties into account (e.g. weather ...