Smart Building

Smart buildings leverage AI and IoT to optimize energy efficiency, occupant comfort, and security. Current research emphasizes using machine learning, particularly deep reinforcement learning and deep learning models like transformers and autoencoders, to analyze sensor data from various building systems (HVAC, lighting, occupancy) for predictive modeling, anomaly detection, and automated control. This field is significant due to its potential to drastically reduce energy consumption and carbon emissions in buildings, a major contributor to global climate change, while simultaneously improving building operations and occupant experience.