In a Data+ project led by Leslie Collins, professor of electrical and computer engineering and biomedical engineering at Duke, the team looked at satellite images from four different cities to locate solar panels to train the machine learning algorithm. The goal was to show how solar energy is being adopted on a county, city or neighborhood level.
Distinguishing Solar Panels from Swimming Pools
Related Projects
Sharrin Manor, Arjun Devarajan, Wuming Zhang, and Jeffrey Perkins explored a lage collection of imagery data provided by the U.S. Geological Survey, with the goal of identifying solar panels using image recognition. They worked closely with the Energy Data Analytics Lab, part of the Energy Initiative at Duke. Project Results The students coded their own proof-of-principle algorithm which identified solar panels in a small […]
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