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Instantaneous urban facade PV potential assessment: An end-to-end deep learning framework for arbitrary planning horizons | Synapse
March 3, 2026
Instantaneous urban facade PV potential assessment: An end-to-end deep learning framework for arbitrary planning horizons
KD
Kechuan Dong
Hong Kong Polytechnic University
ZG
Zhiling Guo
University of Birmingham
QY
Qing Yu
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Key Points
This framework assesses photovoltaic potential in urban facades, making energy planning more efficient.
Key evidence indicates a significant increase in solar energy utilization potential using deep learning algorithms.
The observational analysis uses deep learning to estimate energy generation across various urban facade designs.
This approach highlights the need for integrating innovative technologies into urban planning strategies.
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Dong et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c57c6e9836116a25228
https://doi.org/https://doi.org/10.1016/j.apenergy.2026.127357