Cited by Deep insights into the assembly mechanisms, co-occurrence patterns, and functional roles of microbial community in wastewater treatment plants

Wastewater Treatment Process Enhancement Based on Multi-Objective Optimization and Interpretable Machine Learning DOI

Tianxiang Liu, Heng Zhang,

Junhao Wu

et al.

Published: Jan. 1, 2024

Optimization and control of wastewater treatment process (WTP) can contribute to cost reduction efficiency. A multi-objective optimization (MOO) framework is proposed in this paper provide suggestions for decision-making setting parameters WTP. Firstly, the prediction models based on Extreme Gradient Boosting (XGB) with Bayesian (BO) are developed predicting effluent water quality (EQ) energy consumption (EC) different influent parameter settings. Then, SHapley Additive exPlanations (SHAP) algorithm used complement interpretability machine learning quantitatively evaluate impact features predicted targets. Lastly, Non-dominated Sorting Genetic Algorithm II (NSGA-II) introduced solve MOO problem final decision solution obtained Technique Order Preference by Similarity Ideal Solution (TOPSIS) method. To illustrate applicability framework, above methods applied Benchmark simulation model No. 1 (BSM1). Results indicate that BOXGB effectively capture complex nonlinear relationship WTP R2 values 0.923 0.965 EQ EC, respectively. Additionally, NSGA-II TOPSIS efficiently determine ideal operating parameters. demonstrate enables while ensuring various scenarios.

Language: Английский

Citations

Edge-Cloud Collaboration-Driven Predictive Planning Based on Lstm-Attention for Wastewater Treatment DOI

Shuaiyin Ma, Wei Ding,

Yujuan Zheng

et al.

Published: Jan. 1, 2024

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Language: Английский

Citations

Performance, kinetic characteristics and bacterial community of short-cut nitrification and denitrification system at different ferrous ion conditions DOI

Ben-ze Chang,

Shuai Zhang, Dongzhi Chen

et al.

Biodegradation, Journal Year: 2024, Volume and Issue: 35(5), P. 621 - 639

Published: April 15, 2024

Language: Английский

Citations

Innovations in Nutrient Removal and Resource Recovery Through Artificial Intelligence Techniques DOI

Jyoti Chowdhry,

Sheetal Kumari, Meenakshi Nandal

et al.

Springer water, Journal Year: 2024, Volume and Issue: unknown, P. 201 - 221

Published: Jan. 1, 2024

Language: Английский

Citations

Deep insights into the assembly mechanisms, co-occurrence patterns, and functional roles of microbial community in wastewater treatment plants DOI

Ziyan Wei,

Min Feng,

Ding-Xi Zhang

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 263, P. 120029 - 120029

Published: Sept. 18, 2024

Language: Английский

Citations