CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework

Yang Yang, Shaofu Lin, Rongtian Lu, Xiliang Liu

Open source

DOI: 10.1038/s41597-025-05891-z
Published: 2025-09-30
Container: Scientific Data
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-025-05891-z,
  title = {CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework},
  author = {Yang Yang and Shaofu Lin and Rongtian Lu and Xiliang Liu},
  year = {2025},
  journal = {Scientific Data},
  doi = {10.1038/s41597-025-05891-z},
  url = {https://doi.org/10.1038/s41597-025-05891-z}
}

RIS

TY  - JOUR
TI  - CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework
AU  - Yang Yang
AU  - Shaofu Lin
AU  - Rongtian Lu
AU  - Xiliang Liu
PY  - 2025
JO  - Scientific Data
DO  - 10.1038/s41597-025-05891-z
UR  - https://doi.org/10.1038/s41597-025-05891-z
ER  -

APA

Yang, Y., Lin, S., Lu, R., & Liu, X. (2025). CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework. Scientific Data. https://doi.org/10.1038/s41597-025-05891-z

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crossref · retrieved 2026-11-10T15:11:13.319Z