most citedDeep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms

28 citations · 29 across the 2 of their papers we have counts for

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eess.SY2024

Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration

Esmaeel Mohammadi, Daniel Ortiz-Arroyo, Aviaja Anna Hansen +4

Wastewater treatment plants face unique challenges for process control due to their complex dynamics, slow time constants, and stochastic delays in observations and actions. These…

eess.SY2024★ 28 cited

Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms

Esmaeel Mohammadi, Mikkel Stokholm-Bjerregaard, Aviaja Anna Hansen +3

Phosphorus removal is vital in wastewater treatment to reduce reliance on limited resources. Deep reinforcement learning (DRL) is a machine learning technique that can optimize com…