ANN-Based Short-Term Wastewater Flow Prediction for Better WWTP Control

Leslaw Plonka and Korneliusz Miksch
Environmental Biotechnology Department, Silesian University of Technology 2, Akademicka str., 44-100 Gliwice, Poland
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This paper presents an approach to predict the amount of the wastewater which enters wastewater treatment plant, using artificial neural network. The method presented can be used to give short-term predictions of wastewater inflow-rate. The described neural network model uses a very tiny set of data commonly collected by WWTP control systems.

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