A deep learning based dynamic COD prediction model for urban sewage-Reference-Cited by-同舟云学术

A deep learning based dynamic COD prediction model for urban sewage

Author:

Wang Zifei¹²³⁴⁵,Man Yi¹²³⁴^ORCID,Hu Yusha¹²³⁴,Li Jigeng¹²³⁴,Hong Mengna¹²³⁴,Cui Peizhe⁶⁷⁸⁴⁹

Affiliation:

1. State Key Laboratory of Pulp and Papermaking Engineering

2. South China University of Technology

3. Guangzhou

4. China

5. National Demonstration Center for Experimental Light Industry and Food Education

6. College of Chemical Engineering

7. Qingdao University of Science and Technology

8. Qingdao

9. Shandong Collaborative Innovation Center of Eco-Chemical Engineering

Abstract

An influent COD prediction model based on the CNN-LSTM deep learning algorithm is proposed as the basis of aeration control in WWTPs.

Funder

State Key Laboratory of Pulp and Paper Engineering

Publisher

Royal Society of Chemistry (RSC)

Subject

Water Science and Technology,Environmental Engineering

Link

Reference24 articles.

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