How AI Spotted Every Solar Panel in the U.S.

[Sofia + 35]

Across the country, solar panels are soaking up sun rays and converting their energy into electricity, but without a good handle on their locations and capabilities, these scattered and unpredictable power generators also create headaches. That’s why Stanford University engineers have developed a way to spot solar panels buried in an enormous database of satellite images using a deep learning computer model. Utility managers, researchers, policy makers, developers and curious onlookers can check out an open-access and aggregated version of this data online. The team found nearly 50 percent more solar installations than any previous survey. 
 

Edited December 28, 2018 by Sofia

[DanilKa + 443]

does this mean solar panel efficiency was overestimated, output is TSTM or panels are not connected? Or perhaps AI took some roof windows for the panels?