Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china.

Ren Q, Sun M

DOI: 10.1038/s41598-025-91106-9
Published: 2025 Feb 27
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-91106-9,
  title = {Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china.},
  author = {Ren Q and Sun M},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-91106-9},
  url = {https://doi.org/10.1038/s41598-025-91106-9}
}

RIS

TY  - JOUR
TI  - Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china.
AU  - Ren Q
AU  - Sun M
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-91106-9
UR  - https://doi.org/10.1038/s41598-025-91106-9
ER  -

APA

Q, R., & M, S. (2025). Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china.. Scientific reports. https://doi.org/10.1038/s41598-025-91106-9

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pubmed · retrieved 2026-09-26T15:41:44.047Z