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

Автори: 
Leslaw Plonka and Korneliusz Miksch

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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