Explainable artificial intelligence for chemical dosing in drinking water treatment: A SHAP-assisted case study.
Determining the optimal chemical dosing in drinking water treatment plants is a complex process due to the variability of hydro-meteorological parameters and the nonlinear dynamics of water chemistry. Conventional machine learning approaches typically rely on a behavioral cloning paradigm, thereby replicating suboptima...