@inproceedings{1c3f2a1afb5d42dbb928e5681a3ed8fb,
title = "A data-based KPI prediction approach for wastewater treatment processes",
abstract = "In this paper, the Benchmark Simulation Model No. 1, which is designed for the purpose of simulating actual wastewater treatment processes, is introduced and implemented in SIMULINK environment. Then the partial least squares (PLS) model and its kernel version is studied, and wavelet transform is used to carry out the so called multi-scale kernel partial least squares (KPLS). By means of multi-scale KPLS, the prediction of key performance indicator (KPI)-the COD concentration in effluent-is implemented. Simulation results show that this prediction model has strong generalization ability under the condition that the data collected during the wastewater treatment processes are distributed unevenly and coupled tightly.",
keywords = "BSM1, KPI prediction, Multi-scale KPLS, Wastewater treatment",
author = "Hao Ju and Shen Yin and Huijun Gao and Okyay Kaynak",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Man and Machine Interfacing, MAMI 2015 ; Conference date: 17-12-2015 Through 19-12-2015",
year = "2016",
month = apr,
day = "19",
doi = "10.1109/MAMI.2015.7456575",
language = "英语",
series = "Proceedings - 2015 International Conference on Man and Machine Interfacing, MAMI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2015 International Conference on Man and Machine Interfacing, MAMI 2015",
address = "美国",
}