Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch

Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch

This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD<sub>5</sub>) concentrations over a five-day horizon. This forecasting capab...

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Bibliographic Details
Main Authors: Igor Gulshin, Nikolay Makisha
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
machine learning algorithms
wastewater treatment
effluent quality
soft sensors
Online Access:https://www.mdpi.com/2076-3417/15/3/1351
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