Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study

Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study

The accurate forecast of wastewater treatment plant (WWTP) key features can comprehend and predict the plant behavior to support process design and controls, improve system reliability, reduce operational costs, and endorse optimization of overall performances. Deep learning technologies as proven d...

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Bibliographic Details
Main Authors:	Tuoyuan Cheng, Fouzi Harrou, Farid Kadri, Ying Sun, Torove Leiknes
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Wastewater treatment plant soft-sensor deep learning long short-term memory gated recurrent units
Online Access:	https://ieeexplore.ieee.org/document/9222127/

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