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

www.cell.com

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.

Read more...
Linkedin

Want to receive more content like this in your inbox?