Explore datasets and pre-processing code developed for the 3D-PV-Locator paper.
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Updated
Jul 23, 2022 - Python
Explore datasets and pre-processing code developed for the 3D-PV-Locator paper.
Deep learning project is designed to detect small-sized rooftop photovoltaic (PV) panels using satellite imagery
The project uses overhead satellite imagery combined with Random Forest model, Unet network architecture to segment roofs
浏览器端光伏屋面布置与装机量报告工具 | Browser-based PV roof layout and capacity reporting tool
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.
Rooftop Onboarding - Grupo Alpha 2021
Graph extraction from 3D roof file (.obj file)
Hyperlocal rooftop solar yield estimation for every Indian — accurate, bankable, and inclusive
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