SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery

SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery

Solar power is a clean and renewable energy source. Promoting solar technology can not only offer all people affordable, reliable, and modern energy, but also mitigate energy-related emissions and pollutants. This significantly contributes to sustainable development goals. Aerial imagery can provide...

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Bibliographic Details
Main Authors:	Qingyu Li, Sebastian Krapf, Yilei Shi, Xiao Xiang Zhu
Format:	Article
Language:	English
Published:	Elsevier 2023-02-01
Series:	International Journal of Applied Earth Observations and Geoinformation
Subjects:	Solar potential Renewable energy Roof segments and orientations Convolutional neural network Remote sensing
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843222002862

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