Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP
Ruojia Li,
Kuanliang Feng,
Tong An
et al.
Abstract:Models are increasingly being utilized to improve the understanding and operation of wastewater treatment plants (WWTPs) in the face of escalating water resource challenges. Abundant operational data provide extensive opportunities for the development of machine learning (ML) and deep learning (DL) models. However, the coupling and time lag among the features exacerbate the black-box nature of such models, hindering their application in WWTPs. In this study, we construct a DL model using a long short-term memo… Show more
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