Using machine learning to help people make smart decisions about solar energy #Solar
Using Project Sunroof Data Explorer you can now see your home’s solar capacity and check which of your neighbors have gone solar. Via Google:
This feature combines machine learning with imagery from Google Maps and Google Earth to provide an estimate of how many houses in an area have solar. We started by taking in high-resolution imagery of rooftops and manually identifying solar installations. We then used that data as the initial training set for our algorithm. After many iterations, our machine learning algorithms can now automatically find and identify installations in the imagery (both photovoltaic panels, which produce electricity, and solar hot water heaters). Even for machines, practice makes perfect!
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