A hybrid Bayesian network-based deep learning approach combining climatic and reliability factors to forecast electric vehicle charging capacity.

Li DC

Open source

DOI
10.1016/j.heliyon.2025.e42483
Published
2025 Feb 28
Container
Heliyon
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.heliyon.2025.e42483,
  title = {A hybrid Bayesian network-based deep learning approach combining climatic and reliability factors to forecast electric vehicle charging capacity.},
  author = {Li DC},
  year = {2025},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2025.e42483},
  url = {https://doi.org/10.1016/j.heliyon.2025.e42483}
}

RIS

TY  - JOUR
TI  - A hybrid Bayesian network-based deep learning approach combining climatic and reliability factors to forecast electric vehicle charging capacity.
AU  - Li DC
PY  - 2025
JO  - Heliyon
DO  - 10.1016/j.heliyon.2025.e42483
UR  - https://doi.org/10.1016/j.heliyon.2025.e42483
ER  -

APA

DC, L. (2025). A hybrid Bayesian network-based deep learning approach combining climatic and reliability factors to forecast electric vehicle charging capacity.. Heliyon. https://doi.org/10.1016/j.heliyon.2025.e42483

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