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City-scale Rooftop Solar PV Estimation by jul.cruz94 is a document available to read on EtoBox.

This study presents a framework for estimating rooftop solar photovoltaic (PV) potential at a city scale, utilizing deep learning and publicly available satellite images. The research focuses on Nanjing, China, where it estimates a rooftop area of 330.36 km2 and a solar PV potential of approximately 311,853 GWh for 2019, significantly reducing labor costs in data preparation by 80% through a spatial optimization sampling strategy. The proposed method demonstrates robustness across various architectural styl

Author
jul.cruz94
Language
EN