Explainable machine learning methods for predicting water treatment plant features under varying weather conditions

Explainable machine learning methods for predicting water treatment plant features under varying weather conditions

Accurately predicting key features in WWTPs is essential for optimizing plant performance and minimizing operational costs. This study assesses the potential of various machine learning models for predicting the inflow to anoxic sludge reactors. Firstly, it conducts a comprehensive evaluation of div...

Full description

Bibliographic Details
Main Authors: Mohammed Al Saleem, Fouzi Harrou, Ying Sun
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Engineering
Subjects:
Water treatment plants
Explainable machine learning
Boosting approaches
Key feature prediction
SHAP
LightGBM
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302400183X

Internet

http://www.sciencedirect.com/science/article/pii/S259012302400183X

Similar Items