Novel Ensemble Learning Approach for Predicting COD and TN: Model Development and Implementation
Qiangqiang Cheng,
Ji-Yeon Kim,
Yu Wang
et al.
Abstract:Wastewater treatment plants (WWTPs) generate useful data, but effectively utilizing these data remains a challenge. This study developed novel ensemble tree-based models to enhance real-time predictions of chemical oxygen demand (COD) and total nitrogen (TN) concentrations, which are difficult to monitor directly. The effectiveness of these models, particularly the Voting Regressor, was demonstrated by achieving excellent predictive performance even with the small, volatile, and interconnected datasets typical… Show more
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