Assessment of Urban Rooftop Photovoltaic Potential Based on Deep Learning: A Case Study of the Central Urban Area of Wuhan

Assessment of Urban Rooftop Photovoltaic Potential Based on Deep Learning: A Case Study of the Central Urban Area of Wuhan

Accurate assessment of urban rooftop solar photovoltaic (PV) potential is critical for the low-carbon energy transition. This study presents a deep learning-based approach using high-resolution (0.5 m) aerial imagery to automatically identify building rooftops in the central urban area of Wuhan, Chi...

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Bibliographic Details
Main Authors: Yu Zhang, Wei He, Jinyan Hu, Chaohui Zhou, Bo Ren, Huiheng Luo, Zhiyong Tian, Weili Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
rooftop extraction
deep learning
high-resolution imagery
photovoltaic potential assessment
Online Access:https://www.mdpi.com/2075-5309/15/15/2607
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