Determining roof surfaces suitable for the installation of PV (photovoltaic) systems, based on LiDAR (Light Detection And Ranging) data, pyranometer measurements, and distribution network configuration
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DOI: 10.1016/j.energy.2015.12.078
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- Seme, Sebastijan & Lukač, Niko & Štumberger, Bojan & Hadžiselimović, Miralem, 2017. "Power quality experimental analysis of grid-connected photovoltaic systems in urban distribution networks," Energy, Elsevier, vol. 139(C), pages 1261-1266.
- 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).
- Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
- Joshua M. Pearce & Emily Prehoda, 2019. "Could 79 People Solarize the U.S. Electric Grid?," Societies, MDPI, vol. 9(1), pages 1-27, March.
- 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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Keywords
PV potential; LiDAR; Distribution network; PV system placement; Minimization of losses;All these keywords.
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