Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means
- DOI
- 10.1016/j.adapen.2021.100017
- Published
- 2021-05
- Container
- Advances in Applied Energy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.adapen.2021.100017,
title = {Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means},
author = {Xinyu Dou and Cuijuan Liao and Hengqi Wang and Ying Huang and Ying Tu and Xiaomeng Huang and Yiran Peng and Biqing Zhu and Jianguang Tan and Zhu Deng and Nana Wu and Taochun Sun and Piyu Ke and Zhu Liu},
year = {2021},
journal = {Advances in Applied Energy},
doi = {10.1016/j.adapen.2021.100017},
url = {https://doi.org/10.1016/j.adapen.2021.100017}
}RIS
TY - JOUR TI - Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means AU - Xinyu Dou AU - Cuijuan Liao AU - Hengqi Wang AU - Ying Huang AU - Ying Tu AU - Xiaomeng Huang AU - Yiran Peng AU - Biqing Zhu AU - Jianguang Tan AU - Zhu Deng AU - Nana Wu AU - Taochun Sun AU - Piyu Ke AU - Zhu Liu PY - 2021 JO - Advances in Applied Energy DO - 10.1016/j.adapen.2021.100017 UR - https://doi.org/10.1016/j.adapen.2021.100017 ER -
APA
Dou, X., Liao, C., Wang, H., Huang, Y., Tu, Y., Huang, X., Peng, Y., Zhu, B., Tan, J., Deng, Z., Wu, N., Sun, T., Ke, P., & Liu, Z. (2021). Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means. Advances in Applied Energy. https://doi.org/10.1016/j.adapen.2021.100017
Source records
- crossref · retrieved 2026-09-25T18:19:00.069Z