Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization
This study aimed to enhance wastewater treatment at the Yongkang Water Resource Recovery Center by integrating mechanistic modeling results into machine learning (ML). We combined IoT sensor data from treatment processes with the mechanistic modeling results to develop a hybrid model using ML method...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/91/1/4 |
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| author | Jia-Chi Jiang Nien-Hsun Li Mo Chen Kuan-Chung Chen Chih-Hua Chang |
| author_facet | Jia-Chi Jiang Nien-Hsun Li Mo Chen Kuan-Chung Chen Chih-Hua Chang |
| author_sort | Jia-Chi Jiang |
| collection | DOAJ |
| description | This study aimed to enhance wastewater treatment at the Yongkang Water Resource Recovery Center by integrating mechanistic modeling results into machine learning (ML). We combined IoT sensor data from treatment processes with the mechanistic modeling results to develop a hybrid model using ML methods for predicting effluent quality, specifically focusing on chemical oxygen demand. The developed hybrid model offers advantages in the evaluation of the Theil inequality coefficient, mean absolute error, and coefficient of variation and addresses the convergence issues encountered in ML models with IoT sensor data. Guidance provided by the model mitigates the challenges associated with poor-quality IoT data. |
| format | Article |
| id | doaj-art-b6a7beb0edfa4b2f9a7acda44e39fa6e |
| institution | OA Journals |
| issn | 2673-4591 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-b6a7beb0edfa4b2f9a7acda44e39fa6e2025-08-20T02:21:06ZengMDPI AGEngineering Proceedings2673-45912025-04-01911410.3390/engproc2025091004Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and OptimizationJia-Chi Jiang0Nien-Hsun Li1Mo Chen2Kuan-Chung Chen3Chih-Hua Chang4Department of Environmental Engineering, National Cheng Kung University, Tainan City 701401, TaiwanDepartment of Environmental Engineering, National Cheng Kung University, Tainan City 701401, TaiwanTwo-Shoulder AI Co., Ltd., Tainan City 701006, TaiwanTainan City Government Smart Development Center, Tainan City 708201, TaiwanDepartment of Environmental Engineering, National Cheng Kung University, Tainan City 701401, TaiwanThis study aimed to enhance wastewater treatment at the Yongkang Water Resource Recovery Center by integrating mechanistic modeling results into machine learning (ML). We combined IoT sensor data from treatment processes with the mechanistic modeling results to develop a hybrid model using ML methods for predicting effluent quality, specifically focusing on chemical oxygen demand. The developed hybrid model offers advantages in the evaluation of the Theil inequality coefficient, mean absolute error, and coefficient of variation and addresses the convergence issues encountered in ML models with IoT sensor data. Guidance provided by the model mitigates the challenges associated with poor-quality IoT data.https://www.mdpi.com/2673-4591/91/1/4IoT-based monitoringsmart wastewater treatmentmachine learningmechanistic modelwater quality prediction |
| spellingShingle | Jia-Chi Jiang Nien-Hsun Li Mo Chen Kuan-Chung Chen Chih-Hua Chang Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization Engineering Proceedings IoT-based monitoring smart wastewater treatment machine learning mechanistic model water quality prediction |
| title | Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization |
| title_full | Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization |
| title_fullStr | Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization |
| title_full_unstemmed | Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization |
| title_short | Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization |
| title_sort | enhanced performance of wastewater membrane bioreactor using machine learning model s prediction and optimization |
| topic | IoT-based monitoring smart wastewater treatment machine learning mechanistic model water quality prediction |
| url | https://www.mdpi.com/2673-4591/91/1/4 |
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