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Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy

DOI
Summary
Integrates AIoT, GIS and meteorological data into a facade BIPV potential model that accounts for 3D occlusion; facade element parsing and shading turn out to be key to accurate estimates.
Type
Journal Article
Publication
Advances in Applied Energy, 17, 100212
Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy
Figure 1: Fig. 1 of the paper: solar potential estimation on building facades through AIoT, GIS and meteorology synergy.
  • Solar energy
  • BIPV
  • GIS
  • Deep learning

Cite this paper

@article{dong2025advancing,
  title   = {Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy},
  author  = {Dong, Kechuan and Qing Yu and Zhiling Guo and Xu, Jian and Tan, Hongjun and Haoran Zhang and Jinyue Yan},
  journal = {Advances in Applied Energy},
  year    = {2025},
  doi     = {10.1016/j.adapen.2025.100212}
}
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