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The Transactions of
the Korean Institute of Electrical Engineers
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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2025-04
(Vol.74 No.04)
10.5370/KIEE.2025.74.4.691
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References
1
Keskitalo, J. & Leiviskä, K., “Application of evolutionary optimisers in data-based calibration of activated sludge models,” Expert Systems with Applications, vol. 39, no. 7, pp. 6609-6617, 2011. https://doi.org/10.1016
2
Kumar, M.D. & Tortajada, C., “Case Studies on Performance of Wastewater Treatment Systems,” In Assessing Wastewater Management in India, Springer, Singapore, pp. 234-237, 2020. https://doi.org/10.1007
3
Gonçalves, R., Metwally, A. & Gupta, N., “Smart IoT-based Water Treatment with a Supervisory Control and Data Acquisition (SCADA) System Process,” Journal of Water Reuse and Desalination, vol. 10, no. 1, pp. 34-40, 2022. https://doi.org/10.2166
4
Eui-Seok Nahm, “A Study on Fuzzy Control Method of Energy Saving for Activated Sludge Process in Sewage Treatment Plant,” The Transactions of the Korean Institute of Electrical Engineers, vol. 67, no. 11, pp. 1477-1485, 2018. https://orcid.org/0000-0003-3964-9643
5
Eui-Seok Nahm, “A Study on Validity Verification of Input/Output Process Data and Energy Saving in Water Treatment System Using Calibration,” The Transactions of the Korean Institute of Electrical Engineers, vol. 69, no. 1, pp. 177~183, 2020. https://orcid.org/0000-0003-3964-9643
6
Achari, G., Wang, Z., Bae, S. & Ye, S., “A review of AI-driven control strategies in the activated sludge process with emphasis on aeration control,” Water, vol. 16, no. 2, pp 305-306, 2024. https://doi.org/10.3390
7
Nasr, M. S., Moustafa, M. A., Seif, H. A. & El Kobrosy, G., “Application of artificial neural network (ANN) for the prediction of El-Agamy wastewater treatment plant performance—Egypt,” Alexandria Engineering Journal, vol. 51, No. 1, pp. 37–43. 2012. https://doi.org/10.1016
8
Kohen, E., Farhi, N., Shavitt, Y. & Mamane, H., “Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network,” Environmental Science: Water Research & Technology, vol. 8, pp. 2786–2795, 2022. https://doi:10.1039
9
Arias, I. & Fernández, C., “A Recurrent Neural Network for Wastewater Treatment Plant Effluents' Prediction,” In Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp. 619–631, 2020. https://doi.org/10.1007