Application of explainable artificial intelligence and machine learning in wastewater treatment plants variable prediction: A comparative study of small and large-scale treatment plants

Key Points

• The study aims to evaluate how explainable artificial intelligence can enhance machine learning applications in wastewater treatment.
• Comparative analysis of small and large-scale wastewater treatment plants
• Evaluation of algorithm performance for variable prediction
• Investigation of scalability issues in AI applications
• Explainable AI methods improved prediction accuracy in both small and large plants
• Scalability of machine learning approaches was validated across different plant sizes
• Key variable interactions were identified that influence treatment efficacy