A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant

A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant

The operational complexity of wastewater treatment systems mainly stems from the diversity of influent characteristics and the nonlinear nature of the treatment process. Together, these factors make the control of effluent quality in wastewater treatment plants (WWTPs) difficult to manage effectivel...

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Bibliographic Details
Main Authors: Shitao Zhang, Jiafei Cao, Yang Gao, Fangfang Sun, Yong Yang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Toxics
Subjects:
industrial effluent treatment plant
data-driven
deep learning
effluent prediction
multi-source data fusion
sustainability
Online Access:https://www.mdpi.com/2305-6304/13/5/349
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