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Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction

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Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference (DCAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 742))

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Abstract

This study is focused on wastewater treatment station instrumentation. It is preliminary work for accomplishing virtual sensors in the future. In this stage, a specific case of correlation between monitored variables is carried out. The main aim is to choose the right and enough variables to predict the chemical oxygen demand (COD) over a wastewater treatment plant. Firstly, four methods for feature selection are implemented with all the monitored variables. After that, three regression techniques are applied to measure the performance of the previous step’s cases. In all cases were obtained an acceptable COD prediction was, which will allow the implementation of virtual sensors in the future with predictably adequate accuracy.

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Acknowledgement

Míriam Timiraos’s research was supported by the “Xunta de Galicia” through grants to industrial PhD (http://gain.xunta.gal/), under the “Doutoramento Industrial 2022” grant with reference: 04_IN606D_2022_ 2692965.

Álvaro Michelena’s research was supported by the Spanish Ministry of Universities (https://www.universidades.gob.es/), under the “Formación de Profesorado Universitario” grant with reference: FPU21/00932.

CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01).

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Authors and Affiliations

  1. Department of Industrial Engineering, University of A Coruña, CTC, CITIC, Calle Mendizábal s/n, Campus de Esteiro, 15403, Ferrol, Spain

    Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, Héctor Quintián, Óscar Fontenla-Romero & José Luis Calvo-Rolle

  2. Department of Electrical and Systems Engineering, University of León, Campus de Vegazana S/N C.P. 24071, León, Spain

    Héctor Alaiz-Moretón

Authors
  1. Míriam Timiraos
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  2. Antonio Díaz-Longueira
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  8. José Luis Calvo-Rolle
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Correspondence to Míriam Timiraos .

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Editors and Affiliations

  1. University of A Coruña, A Coruña, Spain

    Esteban Jove

  2. University of A Coruña, A Coruña, Spain

    Francisco Zayas-Gato

  3. University of A Coruña, A Coruña, Spain

    Álvaro Michelena

  4. University of A Coruña, A Coruña, Spain

    José Luis Calvo-Rolle

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Timiraos, M. et al. (2023). Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. In: Jove, E., Zayas-Gato, F., Michelena, Á., Calvo-Rolle, J.L. (eds) Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-031-38616-9_2

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