Tech Xplore: Team locates nearly all US solar panels in a billion images with machine learning

Tech Xplore: Team locates nearly all US solar panels in a billion images with machine learning. “Knowing which Americans have installed solar panels on their roofs and why they did so would be enormously useful for managing the changing U.S. electricity system and to understanding the barriers to greater use of renewable resources. But until now, all that has been available are essentially estimates. To get accurate numbers, Stanford University scientists analyzed more than a billion high-resolution satellite images with a machine learning algorithm and identified nearly every solar power installation in the contiguous 48 states.”