DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the US

This is cool. The authors built a DL-based solution that takes satellite images and detects solar panels. It's super-cool to me that you can actually have a database of literally every solar panel installation in the US just by...looking from the sky. Here are some neat conclusions from the research:

(We discovered that) residential solar deployment density peaks at a population density of 1,000 capita/mile2, increases with annual household income asymptoting at ∼$150k, and has an inverse correlation with the Gini index representing income inequality. 

Modern data techniques create brand new ways to answer previously unanswerable questions.


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