Inspiration

Distribute solar panels in a data-driven way.

What it does

Predict best location for solar panels in terms of panel efficiency

How we built it

  • Reverse Engineered Google Earth to obtain 3D Mesh data
  • Use this to calculate roof tilt to get better panel efficiency estimates
  • Train AI to predict this from satellite images to reduce cost

Challenges we ran into

  • Rate limits
  • No available data set
  • Short time span

Accomplishments that we're proud of

  • First data set for roof data for buildings created in a short time

What we learned

  • Reverse engineering
  • Working with meshes
  • Working with map rendering
  • Working with geo data

What's next for Panel Efficiency using 3D Mesh Data

  • Improve AI model
  • Merge OSM data with Mesh data
  • Expand data set to entirety of Germany
  • Actively predict buildings instead of allowing exploration

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