Residential Solar Photovoltaics (RSPV) offer a promising path towards partial energy self-sufficiency and enhanced national energy security by allowing households to inject surplus energy back into the grid. However, the challenges of RSPV implementation in urban environments, influenced by urban form, need to be better understood and addressed. Using a machine learning approach combined with spatial regression analysis this search aims to investigate the interplay between urban spatial configurations and the existing patterns of rooftop PV installations in Luxembourg. By examining building layouts, environmental conditions, and architectural diversity, we identify gaps in RSPV implementation and understand their relationship with urban form.