Zhou, X., Li, W., Zhao, R., Wu, Y., Li, P., Wang, H., & Zhou, G. (2026). Understanding the influence of urban morphology on building-scale solar energy utilization using interpretable machine learning. Solar Energy, 314, 114686.
Release Time:2026-09-02
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- Date:
- 2026-09-02
- Title of Paper:
- Zhou, X., Li, W., Zhao, R., Wu, Y., Li, P., Wang, H., & Zhou, G. (2026). Understanding the influence of urban morphology on building-scale solar energy utilization using interpretable machine learning. Solar Energy, 314, 114686.
- Translation or Not:
- No
- Prev One:Zhou, X., Chen, W., Huang, Z., Lu, Y., & Zhou, G. (2026). High-resolution assessment of embodied carbon emissions in the urban built environment: Multi-scale patterns and socio-economic drivers across 35 Chinese cities. Sustainable Cities and Society, 107701.
- Next One:Zhou, X., Chen, X., Scheuer, B., Zhao, R., Lu, Y., & Zhou, G. (2026). Revealing the multiscale patterns of atmospheric CO2 over China from 2015 to 2025 using spatiotemporal feature-enhanced machine learning. Atmospheric Pollution Research, 103240.