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Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

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Cited by:

  1. 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.
  2. García-Afonso, Óscar & González-Díaz, Benjamín, 2023. "Effectiveness of zero tailpipe vehicles to reduce CO2 emissions in isolated power systems, a realistic perspective: Tenerife Island test case," Energy, Elsevier, vol. 273(C).
  3. 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).
  4. Sebastian Krapf & Nils Kemmerzell & Syed Khawaja Haseeb Uddin & Manuel Hack Vázquez & Fabian Netzler & Markus Lienkamp, 2021. "Towards Scalable Economic Photovoltaic Potential Analysis Using Aerial Images and Deep Learning," Energies, MDPI, vol. 14(13), pages 1-22, June.
  5. Paulius Kozlovas & Saulius Gudzius & Jokubas Ciurlionis & Audrius Jonaitis & Inga Konstantinaviciute & Viktorija Bobinaite, 2023. "Assessment of Technical and Economic Potential of Urban Rooftop Solar Photovoltaic Systems in Lithuania," Energies, MDPI, vol. 16(14), pages 1-29, July.
  6. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
  7. Gupta, Rahul & Sossan, Fabrizio & Paolone, Mario, 2021. "Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland," Applied Energy, Elsevier, vol. 281(C).
  8. Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
  9. Wang, Sen & Qin, Chaoxu & Feng, Qihong & Javadpour, Farzam & Rui, Zhenhua, 2021. "A framework for predicting the production performance of unconventional resources using deep learning," Applied Energy, Elsevier, vol. 295(C).
  10. 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).
  11. Stanley Risch & Rachel Maier & Junsong Du & Noah Pflugradt & Peter Stenzel & Leander Kotzur & Detlef Stolten, 2022. "Potentials of Renewable Energy Sources in Germany and the Influence of Land Use Datasets," Energies, MDPI, vol. 15(15), pages 1-25, July.
  12. Babak Ranjgar & Alessandro Niccolai, 2023. "Large-Scale Rooftop Solar Photovoltaic Power Production Potential Assessment: A Case Study for Tehran Metropolitan Area, Iran," Energies, MDPI, vol. 16(20), pages 1-14, October.
  13. Sredenšek, Klemen & Štumberger, Bojan & Hadžiselimović, Miralem & Mavsar, Primož & Seme, Sebastijan, 2022. "Physical, geographical, technical, and economic potential for the optimal configuration of photovoltaic systems using a digital surface model and optimization method," Energy, Elsevier, vol. 242(C).
  14. V. Tirupati Rao & Y. Raja Sekhar, 2023. "Hybrid Photovoltaic/Thermal (PVT) Collector Systems With Different Absorber Configurations For Thermal Management – A Review," Energy & Environment, , vol. 34(3), pages 690-735, May.
  15. Wang, Zhangyuan & Zhao, Xudong & Han, Zhonghe & Luo, Liang & Xiang, Jinwei & Zheng, Senglin & Liu, Guangming & Yu, Min & Cui, Yu & Shittu, Samson & Hu, Menglong, 2021. "Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology – A review and prospective study," Applied Energy, Elsevier, vol. 294(C).
  16. Mengjin Hu & Xiaoyang Song & Zhongxu Bao & Zhao Liu & Mengju Wei & Yaohuan Huang, 2022. "Evaluation of the Economic Potential of Photovoltaic Power Generation in Road Spaces," Energies, MDPI, vol. 15(17), pages 1-16, September.
  17. Carlos Beltran-Velamazan & Marta Monzón-Chavarrías & Belinda López-Mesa, 2021. "A Method for the Automated Construction of 3D Models of Cities and Neighborhoods from Official Cadaster Data for Solar Analysis," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
  18. Isaac Gallardo & Daniel Amor & Álvaro Gutiérrez, 2023. "Recent Trends in Real-Time Photovoltaic Prediction Systems," Energies, MDPI, vol. 16(15), pages 1-17, July.
  19. He, Jing & Ren, Fu & Weibel, Robert & Fu, Cheng, 2023. "The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China," Renewable Energy, Elsevier, vol. 218(C).
  20. 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).
  21. Thebault, Martin & Desthieux, Gilles & Castello, Roberto & Berrah, Lamia, 2022. "Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva," Applied Energy, Elsevier, vol. 316(C).
  22. Žalik, Mitja & Mongus, Domen & Lukač, Niko, 2024. "High-resolution spatiotemporal assessment of solar potential from remote sensing data using deep learning," Renewable Energy, Elsevier, vol. 222(C).
  23. 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.
  24. Li, Mingquan & Virguez, Edgar & Shan, Rui & Tian, Jialin & Gao, Shuo & Patiño-Echeverri, Dalia, 2022. "High-resolution data shows China’s wind and solar energy resources are enough to support a 2050 decarbonized electricity system," Applied Energy, Elsevier, vol. 306(PA).
  25. Mao, Hongzhi & Chen, Xie & Luo, Yongqiang & Deng, Jie & Tian, Zhiyong & Yu, Jinghua & Xiao, Yimin & Fan, Jianhua, 2023. "Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
  26. Rüdisüli, Martin & Bach, Christian & Bauer, Christian & Beloin-Saint-Pierre, Didier & Elber, Urs & Georges, Gil & Limpach, Robert & Pareschi, Giacomo & Kannan, Ramachandran & Teske, Sinan L., 2022. "Prospective life-cycle assessment of greenhouse gas emissions of electricity-based mobility options," Applied Energy, Elsevier, vol. 306(PB).
  27. Lonergan, Katherine Emma & Sansavini, Giovanni, 2022. "Business structure of electricity distribution system operator and effect on solar photovoltaic uptake: An empirical case study for Switzerland," Energy Policy, Elsevier, vol. 160(C).
  28. Walch, Alina & Rüdisüli, Martin, 2023. "Strategic PV expansion and its impact on regional electricity self-sufficiency: Case study of Switzerland," Applied Energy, Elsevier, vol. 346(C).
  29. Yilin Xu & Jie He & Yang Liu & Zilu Li & Weicong Cai & Xiangang Peng, 2023. "Evaluation Method for Hosting Capacity of Rooftop Photovoltaic Considering Photovoltaic Potential in Distribution System," Energies, MDPI, vol. 16(22), pages 1-23, November.
  30. 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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