kdmayer/3D-PV-Locator

Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

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Emerging

This project helps urban planners, energy analysts, and renewable energy consultants automatically identify and map rooftop solar panel (PV) systems across German cities. By analyzing aerial imagery and 3D building data, it generates detailed registries in GeoJSON format, showing the precise location, size, tilt, and estimated capacity of PV installations for every address and rooftop. The output provides actionable insights for understanding solar energy deployment and potential.

No commits in the last 6 months.

Use this if you need to quickly and accurately identify and inventory rooftop solar panel installations and their characteristics at a large scale within Germany's North Rhine-Westphalia region.

Not ideal if you are looking to analyze solar potential in regions outside of North Rhine-Westphalia or require real-time monitoring of PV system performance.

renewable-energy-mapping urban-planning solar-energy-assessment geospatial-analysis infrastructure-auditing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

60

Forks

8

Language

Python

License

MIT

Last pushed

Jul 06, 2023

Commits (30d)

0

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