A SegFormer-based model for spatial Daylight Factor prediction with comprehensive obstruction encoding and regulatory validation

Daylight compliance assessment in residential buildings requires time-consuming raytracing simulations and specialist model preparation, limiting its integration into iterative architectural design. We present a machine learning-based methodology for predicting the spatial distribution of the Daylig