太阳能
Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets
整合三维建筑足迹与气象数据，估算全球 120 个城市的建筑一体化光伏潜力；立面光伏潜力平均可达屋顶潜力的 68.2%。
· Nexus
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太阳能
Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy
整合 AIoT、GIS 与气象数据，建立考虑三维遮挡的建筑立面光伏潜力评估模型，发现立面元素解析与阴影效应是准确估算的关键。
· Advances in Applied Energy
太阳能
Spatiotemporal feature encoded deep learning method for rooftop PV potential assessment
编码多源时空特征的深度学习框架，可预测阴影投射并计算屋顶光伏潜力（年发电潜力 MAPE 2.85%，遮挡评估 mIoU 89.23%），速度约为仿真方法的 158 倍。
· Applied Energy
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徐剑, 郭直灵, Qing Yu, 董克川, 谭鸿骏, Haoran Zhang, Jinyue Yan (2025). Spatiotemporal feature encoded deep learning method for rooftop PV potential assessment. Applied Energy, 394, 126171.
Qing Yu, 董克川, 郭直灵, 徐剑, Jiaxing Li, 谭鸿骏, Yanxiu Jin, Jian Yuan, Haoran Zhang, Junwei Liu, Qi Chen, Jinyue Yan (2025). Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets. Nexus, 2(2), 100060.
董克川, Qing Yu, 郭直灵, 徐剑, 谭鸿骏, Haoran Zhang, Jinyue Yan (2025). Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy. Advances in Applied Energy, 17, 100212.