Residential Building

Residential building research focuses on improving energy efficiency, sustainability, and safety through data-driven approaches. Current studies leverage various machine learning models, including graph neural networks, convolutional neural networks, and recurrent neural networks, to analyze data from diverse sources like satellite imagery, LiDAR scans, and building information models (BIM). This research is significant for optimizing building design, enhancing disaster response, and improving energy management strategies, ultimately contributing to more sustainable and resilient urban environments.