Deep learning project is designed to detect small-sized rooftop photovoltaic (PV) panels using satellite imagery
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Oct 17, 2024 - Jupyter Notebook
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rooftop
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Explore datasets and pre-processing code developed for the 3D-PV-Locator paper.
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Jul 23, 2022 - Python
The project uses overhead satellite imagery combined with Random Forest model, Unet network architecture to segment roofs
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May 25, 2025 - Jupyter Notebook
This program optimizes photovoltaic systems in urban environments. The main objective is to design a tool capable of generating detailed profiles of solar panels, calculating energy gains, and making large-scale estimates, ranging from individual rooftops to entire cities and neighbourhoods.
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Feb 10, 2026
Graph extraction from 3D roof file (.obj file)
graphedge-classificationroofperspective-projectiontrimeshrooftop-segmentationorthogonal-projectionrooftopblock-extraction
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Oct 20, 2024 - Jupyter Notebook
Rooftop Onboarding - Grupo Alpha 2021
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Oct 15, 2021 - TypeScript
Hyperlocal rooftop solar yield estimation for every Indian — accurate, bankable, and inclusive
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Mar 21, 2026 - JavaScript
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