XRL-FlexSBR: Multi-agent reinforcement learning-driven flexible SBR control with explainable performance guarantee under diverse influent conditions
SungKu Heo, KiJeon Nam, SangYoun Kim, ChangKyoo Yoo
Topics & Concepts
Reinforcement learningComputer scienceProcess (computing)Process engineeringArtificial intelligenceEnvironmental scienceEngineeringOperating systemWastewater Treatment and Nitrogen RemovalAdvanced Control Systems OptimizationFault Detection and Control Systems