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A city-scale roof shape classification using machine learning for solar energy applications

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  1. Drozd, Paweł & Kapica, Jacek & Jurasz, Jakub & Dąbek, Paweł, 2025. "Evaluating cities' solar potential using geographic information systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 209(C).
  2. Singh, Devesh, 2022. "Renewable energy, urban primacy, foreign direct investment, and value-added in European regions," Renewable Energy, Elsevier, vol. 186(C), pages 547-561.
  3. Mohammad Mahdi Forootan & Iman Larki & Rahim Zahedi & Abolfazl Ahmadi, 2022. "Machine Learning and Deep Learning in Energy Systems: A Review," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
  4. Elham Fakhraian & Marc Alier & Francesc Valls Dalmau & Alireza Nameni & Maria José Casañ Guerrero, 2021. "The Urban Rooftop Photovoltaic Potential Determination," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
  5. Lukač, Niko & Mongus, Domen & Žalik, Borut & Štumberger, Gorazd & Bizjak, Marko, 2024. "Novel GPU-accelerated high-resolution solar potential estimation in urban areas by using a modified diffuse irradiance model," Applied Energy, Elsevier, vol. 353(PA).
  6. Mohajeri, Nahid & Perera, A.T.D. & Coccolo, Silvia & Mosca, Lucas & Le Guen, Morgane & Scartezzini, Jean-Louis, 2019. "Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050," Renewable Energy, Elsevier, vol. 143(C), pages 810-826.
  7. Dong, Lingshuang & Xie, Jinfeng & Zhang, Yi, 2026. "City-scale estimation of actual available rooftop areas for solar photovoltaic using a two-stage SegFormer based model," Renewable Energy, Elsevier, vol. 262(C).
  8. Liang, Hanwei & Shen, Jieling & Yip, Hin-Lap & Fang, Mandy Meng & Dong, Liang, 2024. "Unleashing the green potential: Assessing Hong Kong's building solar PV capacity," Applied Energy, Elsevier, vol. 369(C).
  9. Zaragozí, Benito & Salvat-Garcia, Lluís & Saladié-Gil, Sergi & Saladié, Òscar, 2025. "Harnessing rooftop photovoltaic potential: Adoption disparities across building types in Tarragona Province, Spain," Utilities Policy, Elsevier, vol. 96(C).
  10. Wei, Tianxi & Zhang, Yi & Zhang, Yuhang & Miao, Rui & Kang, Jian & Qi, He, 2024. "City-scale roof-top photovoltaic deployment planning," Applied Energy, Elsevier, vol. 368(C).
  11. Aslani, Mohammad & Seipel, Stefan, 2022. "Automatic identification of utilizable rooftop areas in digital surface models for photovoltaics potential assessment," Applied Energy, Elsevier, vol. 306(PA).
  12. Castaldo, Veronica Lucia & Pisello, Anna Laura & Piselli, Cristina & Fabiani, Claudia & Cotana, Franco & Santamouris, Mattheos, 2018. "How outdoor microclimate mitigation affects building thermal-energy performance: A new design-stage method for energy saving in residential near-zero energy settlements in Italy," Renewable Energy, Elsevier, vol. 127(C), pages 920-935.
  13. Liao, Xuan & Zhu, Rui & Wong, Man Sing & Heo, Joon & Chan, P.W. & Kwok, Coco Yin Tung, 2023. "Fast and accurate estimation of solar irradiation on building rooftops in Hong Kong: A machine learning-based parameterization approach," Renewable Energy, Elsevier, vol. 216(C).
  14. Job Taminiau & John Byrne & Jongkyu Kim & Min‐Hwi Kim & Jeongseok Seo, 2022. "Inferential‐ and measurement‐based methods to estimate rooftop “solar city” potential in megacity Seoul, South Korea," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(5), September.
  15. Xu, Jian & Guo, Zhiling & Yu, Qing & Dong, Kechuan & Tan, Hongjun & Zhang, Haoran & Yan, Jinyue, 2025. "Spatiotemporal feature encoded deep learning method for rooftop PV potential assessment," Applied Energy, Elsevier, vol. 394(C).
  16. Li, Jingjin & Tian, Yuqi & Zhao, Baikun, 2026. "A method for rapid multi-scenario prediction of urban-scale solar energy substitution rate: A case study in Nanjing," Renewable Energy, Elsevier, vol. 256(PG).
  17. Dong, Kechuan & Guo, Zhiling & Yu, Qing & Xu, Jian & Yan, Jinyue, 2026. "Data-driven prediction of fine-grained facade solar irradiance for urban PV potential assessment," Applied Energy, Elsevier, vol. 403(PB).
  18. Abu Danish Aiman Bin Abu Sofian & Hooi Ren Lim & Heli Siti Halimatul Munawaroh & Zengling Ma & Kit Wayne Chew & Pau Loke Show, 2024. "Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(4), pages 3953-3978, August.
  19. Zhong, Teng & Zhang, Zhixin & Chen, Min & Zhang, Kai & Zhou, Zixuan & Zhu, Rui & Wang, Yijie & Lü, Guonian & Yan, Jinyue, 2021. "A city-scale estimation of rooftop solar photovoltaic potential based on deep learning," Applied Energy, Elsevier, vol. 298(C).
  20. Miguel-Angel Perea-Moreno & Quetzalcoatl Hernandez-Escobedo & Alberto-Jesus Perea-Moreno, 2018. "Renewable Energy in Urban Areas: Worldwide Research Trends," Energies, MDPI, vol. 11(3), pages 1-19, March.
  21. Liu, Jiang & Wu, Qifeng & Lin, Zhipeng & Shi, Huijie & Wen, Shaoyang & Wu, Qiaoyu & Zhang, Junxue & Peng, Changhai, 2023. "A novel approach for assessing rooftop-and-facade solar photovoltaic potential in rural areas using three-dimensional (3D) building models constructed with GIS," Energy, Elsevier, vol. 282(C).
  22. Sun, Tao & Shan, Ming & Rong, Xing & Yang, Xudong, 2022. "Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images," Applied Energy, Elsevier, vol. 315(C).
  23. Lodhi, Muhammad Kamran & Tan, Yumin & Wang, Xiaolu & Masum, Syed Muhammad & Nouman, Khan Muhammad & Ullah, Nasim, 2024. "Harnessing rooftop solar photovoltaic potential in Islamabad, Pakistan: A remote sensing and deep learning approach," Energy, Elsevier, vol. 304(C).
  24. Hou Jiang & Ning Lu & Xuecheng Wang, 2023. "Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
  25. Mohajeri, N. & Gudmundsson, A. & Kunckler, T. & Upadhyay, G. & Assouline, D. & Kämpf, J.H & Scartezzini, J.L., 2019. "A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland," Applied Energy, Elsevier, vol. 240(C), pages 173-190.
  26. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
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