A multi-subsystem collaborative Bi-LSTM-based adaptive soft sensor for global prediction of ammonia-nitrogen concentration in wastewater treatment processes

Author:

Li DongORCID,Yang Chunhua,Li Yonggang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference28 articles.

1. Benchmark simulation model no. 1 (BSM1);Alex,2008

2. A hierarchical soft-sensor using spatiotemporal information transformation and ARMA with application in wastewater treatment;Fang;IEEE Trans. Instrum. Meas.,2023

3. Assessment of sludge management strategies in wastewater treatment systems using a plant-wide approach;Flores-Alsina;Water Res.,2021

4. Techno-economic characteristics of wastewater treatment plants retrofitted from the conventional activated sludge process to the membrane bioreactor process;Gao;Front. Environ. Sci. Eng.,2022

5. A data-driven soft sensor to forecast energy consumption in wastewater treatment plants: a case study;Harrou;IEEE Sens. J.,2020

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