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Solar energy deployment through PV installations in urban areas depends strongly on the shape, size, and orientation of available roofs. Here we use a machine learning approach, Support Vector Machine (SVM) classification, to classify 10,085 building roofs ...
The building cultures of regions where plant resources abound show the adaptation of these local bio-based materials to the roofing of buildings: thatch, reed, bark or shingles. Despite a low environmental impact, these techniques require skilled manual wo ...
Wooden shingles have long been used as a vernacular roofing technique in many well-wooded areas. Despite the fact that shingles, as local raw materials, are low in embodied energy, nowadays they are not much used in construction, as the specific craft know ...
This paper focuses on roof-shape classification and solar potential for integrating photovoltaics (PV) on roofs. A machine-learning approach, Support Vector Machine (SVM), is used to classify the roof shapes in the city of Geneva. The impact of various roo ...