New tool to estimate cities' rooftop PV potential considers roof superstructures

Called SolarNet+, the novel framework is claimed to calculate cities' PV potential not only by finding the orientation of roofs in areal imagery but also by identifying superstructures such as windows or chimneys. It was tested using areal photographs from Munich and Brussels and proved superior to reference frameworks. A group of scientists from Germany has created a new deep learning-based method for city-scale PV rooftop potential based on aerial images. The novelty of the proposed technique consists of its ability to consider superstructures on roofs. "Those portions of the roof area may ...

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