Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

Z Huang, T Mendis, S Xu - Applied Energy, 2019 - Elsevier
This study presents a novel approach to detect the city-wide solar potential which utilizes
image segmentation with deep learning technology unlike traditional methods. In order to …

Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

Z Huang, T Mendis, S Xu - Applied Energy, 2019 - econpapers.repec.org
This study presents a novel approach to detect the city-wide solar potential which utilizes
image segmentation with deep learning technology unlike traditional methods. In order to …

Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

Z Huang, T Mendis, S Xu - Applied Energy, 2019 - ideas.repec.org
This study presents a novel approach to detect the city-wide solar potential which utilizes
image segmentation with deep learning technology unlike traditional methods. In order to …

Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

Z Huang, T Mendis, S Xu - Applied Energy, 2019 - ui.adsabs.harvard.edu
This study presents a novel approach to detect the city-wide solar potential which utilizes
image segmentation with deep learning technology unlike traditional methods. In order to …

[引用][C] Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

Z Huang, T Mendis, S Xu - Applied Energy, 2019 - cir.nii.ac.jp
Urban solar utilization potential mapping via deep learning technology: A case study of
Wuhan, China | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …

[引用][C] Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

Z Huang, T Mendis, S Xu - 2019