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Analysis of electricity bills using visual continuous maps

  • New applications of Artificial Neural Networks in Modeling & Control
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Abstract

The information from the electricity bills of an institution such as the University of León, with several billing points, constitutes a high-dimensional data set which is quite complicated to visualize at a glance. The use of techniques for dimensionality reduction enables to obtain a two-dimensional representation of the original data set which highlights main features in data and is easier to visualize. If these techniques are combined with interpolation methods, the resulting continuous maps allow comparison and interpretation of a whole range of possible electric data sets, not only the original one. These tools allow us to generate interactive maps that can be used by untrained people to exploit and analyze the information in electricity bills, detect penalties due to a power demand excess or power factor decrease, and make decisions with regard to electricity contracts.

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Acknowledgments

A. Morán was supported by a grant from the Consejería de Educación de la Junta de Castilla y León and the European Social Fund. This work was supported in part by the Spanish Ministerio de Ciencia e Innovación (MICINN) and the European FEDER funds under grant DPI2009-13398-C02-02.

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Authors and Affiliations

  1. Grupo de Investigación SUPPRESS, Instituto de Automática y Fabricación, Escuela de Ingenierías, Universidad de León, Campus de Vegazana, 24071, León, Spain

    A. Morán, J. J. Fuertes, M. Domínguez, M. A. Prada, S. Alonso & P. Barrientos

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  1. A. Morán
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  2. J. J. Fuertes
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  3. M. Domínguez
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  4. M. A. Prada
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  5. S. Alonso
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  6. P. Barrientos
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Correspondence to A. Morán.

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Morán, A., Fuertes, J.J., Domínguez, M. et al. Analysis of electricity bills using visual continuous maps. Neural Comput & Applic 23, 645–655 (2013). https://doi.org/10.1007/s00521-013-1409-8

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  • DOI: https://doi.org/10.1007/s00521-013-1409-8

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