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