Cross-scenario evaluation of explainable machine learning for non-invasive summer occupancy detection across five building scenarios
- DOI
- 10.1038/s41598-026-59912-x
- Published
- 2026-07-10
- 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/s41598-026-59912-x,
title = {Cross-scenario evaluation of explainable machine learning for non-invasive summer occupancy detection across five building scenarios},
author = {Jiantao Weng and Zhitong Ye and Jingqi Zhao and Xihao Tian and Jindong Wu and Yujie Zhao and Xiaoyu Ying},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-59912-x},
url = {https://doi.org/10.1038/s41598-026-59912-x}
}RIS
TY - JOUR TI - Cross-scenario evaluation of explainable machine learning for non-invasive summer occupancy detection across five building scenarios AU - Jiantao Weng AU - Zhitong Ye AU - Jingqi Zhao AU - Xihao Tian AU - Jindong Wu AU - Yujie Zhao AU - Xiaoyu Ying PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-59912-x UR - https://doi.org/10.1038/s41598-026-59912-x ER -
APA
Weng, J., Ye, Z., Zhao, J., Tian, X., Wu, J., Zhao, Y., & Ying, X. (2026). Cross-scenario evaluation of explainable machine learning for non-invasive summer occupancy detection across five building scenarios. Scientific Reports. https://doi.org/10.1038/s41598-026-59912-x
Source records
- crossref · retrieved 2026-09-26T01:48:19.897Z