Researchers Develop Tool to Identify Rooftop’s Potential for Solar Systems
‘DeepRoof’ approach uses satellite imagery to accurately determine roof geometry, nearby structures, and trees that affect the solar potential of a roof
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A research team from the University of Massachusetts Amherst, U.S., has proposed a new, data-driven approach that uses machine learning techniques and widely available satellite images to identify roofs that have the maximum potential to produce cost-effective solar power.
Anjana Parikh
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