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Neural Visualization for the Analysis of Energy and Water Consumptions in the Automotive Industry

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Book cover International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 (SOCO’18-CISIS’18-ICEUTE’18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 771))

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Abstract

This study presents the application of neural models to a real-life problem in order to study the energy and water consumptions of an automotive multinational company for resources saving and environment protection. The aim is to visually and naturally analyse different consumptions data for a whole year, month by month, from factories and locations worldwide where different kinds of products are produced. The data are studied in order to see whether the geographical location, the month of the year or the technology used in each factory are relevant in terms of consumptions and then take actions for a greener production. The consumptions dataset is analysed using different neural projection models: Principal Component Analysis and Cooperative Maximum-Likelihood Hebbian Learning. This unsupervised dimensionality reduction techniques have been applied, and subsequent interesting conclusions are obtained.

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Acknowledgments

The authors would like to thank the vehicle interior manufacturer, Grupo Antolin, for its collaboration in this research.

Author information

Authors and Affiliations

  1. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n, 09006, Burgos, Spain

    Raquel Redondo & Álvaro Herrero

  2. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Emilio Corchado

  3. Instituto Tecnológico de Castilla y León, Pol. Ind. Villalonquejar, C/López Bravo 70, 09001, Burgos, Spain

    Javier Sedano

Authors
  1. Raquel Redondo
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  2. Álvaro Herrero
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  3. Emilio Corchado
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  4. Javier Sedano
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Corresponding author

Correspondence to Raquel Redondo .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Manuel Graña

  2. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Salamanca, Spain

    José Antonio Sáez

  6. Department of Industrial Engineering, University of A Coruña, La Coruña, La Coruña, Spain

    Héctor Quintián

  7. University of Salamanca, Salamanca, Salamanca, Spain

    Emilio Corchado

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Redondo, R., Herrero, Á., Corchado, E., Sedano, J. (2019). Neural Visualization for the Analysis of Energy and Water Consumptions in the Automotive Industry. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_16

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