A full-view management method based on artificial neural networks for energy and material-savings in wastewater treatment plants

Author:

Wang Jian-Hui,Zhao Xiao-Long,Guo Zhi-Wei,Yan Peng,Gao Xu,Shen Yu,Chen You-PengORCID

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference49 articles.

1. Discharge Standards of Pollutants for Municipal Wastewater Treatment Plant (GB 18918-2002);Administration,2002

2. Prediction the performance of multistage moving bed biological process using artificial neural network (ANN);Almomani;Sci. Total Environ.,2020

3. Modelling the chlorophenol removal from wastewater via reverse osmosis process using a multilayer artificial neural network with genetic algorithm;Atm;J. Water Proc. Eng.,2019

4. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: a case study for six basins from the CAMELS dataset;Ayzel;Comput. Geosci.,2021

5. Coupling a hybrid CNN-LSTM deep learning model with a boundary corrected maximal overlap discrete wavelet transform for multiscale lake water level forecasting;Barzegar;J. Hydrol.,2021

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