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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…
Time Series Dataset for Modeling and Forecasting of in Wastewater Treatment
Laura Debel Hansen, Anju Rani, Mikkel Algren Stokholm-Bjerregaard +3
In this paper, we present two years of high-resolution nitrous oxide () measurements for time series modeling and forecasting in wastewater treatment plants (WWTP). The datas…
Wastewater Treatment Plant Data for Nutrient Removal System
Esmaeel Mohammadi, Anju Rani, Mikkel Stokholm-Bjerregaard +2
This paper introduces the Agtrup (BlueKolding) dataset, collected from Denmark's Agtrup wastewater treatment plant, specifically designed to enhance phosphorus removal via chemical…
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…