Application of machine learning for FOS/TAC soft sensing in bio-electrochemical anaerobic digestion
(2025)
Journal Article
This study explores the application of various machine learning (ML) models for the real-time prediction of the FOS/TAC ratio in microbial electrolysis cell anaerobic digestion (MEC-AD) systems using data collected during a 160-day trial treating bre... Read More about Application of machine learning for FOS/TAC soft sensing in bio-electrochemical anaerobic digestion.