Energy consumption prediction in water treatment plants using deep learning with data augmentation

Energy consumption prediction in water treatment plants using deep learning with data augmentation

Wastewater treatment plants (WWTPs) are energy-intensive facilities that play a critical role in meeting stringent effluent quality regulations. Accurate prediction of energy consumption in WWTPs is essential for cost savings, process optimization, regulatory compliance, and reducing carbon footprin...

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Bibliographic Details
Main Authors: Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, Ying Sun
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
Deep learning
Data augmentation
Features selection
Energy consumption
Wastewater treatment plants
Data-based methods
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023005558

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http://www.sciencedirect.com/science/article/pii/S2590123023005558

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