Adaptive prediction for effluent quality of wastewater treatment plant: Improvement with a dual-stage attention-based LSTM network-Reference-Cited by-同舟云学术

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Adaptive prediction for effluent quality of wastewater treatment plant: Improvement with a dual-stage attention-based LSTM network

Published:2024-05 Issue: Volume:359 Page:120887
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

An Tong,Feng Kuanliang,Cheng Peijin,Li Ruojia,Zhao Zihao,Xu Xiangyang,Zhu Liang^ORCID

Funder

National Natural Science Foundation of China

Science and Technology Program of Zhejiang Province

Major Scientific and Technological Project of Zhejiang Province

Publisher

Elsevier BV

Reference49 articles.

1. Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder;Bi;Expert Syst. Appl.,2024

2. Classification complexity assessment for hyper-parameter optimization;Cai;Pattern Recogn. Lett.,2019

3. Exploring the attention mechanism in LSTM-based Hong Kong stock price movement prediction;Chen;Quant. Finance,2019

4. A dual-stage attention-based Bi-LSTM network for multivariate time series prediction;Cheng;J. Supercomput.,2022

5. Optimization of energy consumption in the Biological reactor of a wastewater treatment plant by means of Oxy fuzzy and ORP control;Chiavola;Water Air Soil Pollut.,2017

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