Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption.
- DOI
- 10.1016/j.wroa.2025.100309
- Published
- 2025-01-01
- Container
- Water Res X
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1016/j.wroa.2025.100309,
title = {Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption.},
author = {Li M and Tang C and Gu J and Li N and Zhou A and Wu K and Zhang Z and Huang H and Ren H.},
year = {2025},
journal = {Water Res X},
doi = {10.1016/j.wroa.2025.100309},
url = {https://doi.org/10.1016/j.wroa.2025.100309}
}RIS
TY - JOUR TI - Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption. AU - Li M AU - Tang C AU - Gu J AU - Li N AU - Zhou A AU - Wu K AU - Zhang Z AU - Huang H AU - Ren H. PY - 2025 JO - Water Res X DO - 10.1016/j.wroa.2025.100309 UR - https://doi.org/10.1016/j.wroa.2025.100309 ER -
APA
M, L., C, T., J, G., N, L., A, Z., K, W., Z, Z., H, H., & H., R. (2025). Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption.. Water Res X. https://doi.org/10.1016/j.wroa.2025.100309
Source records
- europe-pmc · retrieved 2026-09-25T16:43:37.088Z
- doaj · retrieved 2026-09-25T16:43:37.074Z