Probabilistic deep learning framework for dynamic carbon emission accounting of electric buses under grid uncertainty
- DOI
- 10.1038/s41598-026-49360-y
- Published
- 2026-06-09
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-49360-y,
title = {Probabilistic deep learning framework for dynamic carbon emission accounting of electric buses under grid uncertainty},
author = {Shaoxuan Zhu and Guolin Lü and Chenhao Zhi and Shuhong Liu and Chenhao Li and Kai Zhang},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-49360-y},
url = {https://doi.org/10.1038/s41598-026-49360-y}
}RIS
TY - JOUR TI - Probabilistic deep learning framework for dynamic carbon emission accounting of electric buses under grid uncertainty AU - Shaoxuan Zhu AU - Guolin Lü AU - Chenhao Zhi AU - Shuhong Liu AU - Chenhao Li AU - Kai Zhang PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-49360-y UR - https://doi.org/10.1038/s41598-026-49360-y ER -
APA
Zhu, S., Lü, G., Zhi, C., Liu, S., Li, C., & Zhang, K. (2026). Probabilistic deep learning framework for dynamic carbon emission accounting of electric buses under grid uncertainty. Scientific Reports. https://doi.org/10.1038/s41598-026-49360-y
Source records
- crossref · retrieved 2026-09-27T10:16:20.523Z