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Forecasting Electricity Consumption Using Weather Data in an Edge-Fog-Cloud Data Analytics Architecture

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 158))

Abstract

The forecasting of electricity consumption is a well-study research problem; however, electricity consumption is a complex model because it depends on many factors, and its accuracy is not always accurate. The accuracy of this forecasting impact; for example, in the utilities in the bulk generation of electricity and in the end-user at economical prices. This work shows the implementation of a forecasting model considering weather data across the smart metering system infrastructure using and edge-fog-cloud architecture for data analytics. The results show that using weather data across edge-fog-cloud architecture is an excellent alternative to forecast electricity consumption.

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Acknowledgment

This works is partial supported by Tecnológico Nacional de México under grants 7948.20-P and 8000.20-P.

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Authors and Affiliations

  1. División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Morelia, Morelia, Michoacán, Mexico

    Juan C. Olivares-Rojas, Enrique Reyes-Archundia, José A. Gutiérrez-Gnecchi, Ismael Molina-Moreno & Arturo Méndez-Patiño

  2. Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, Mexico

    Jaime Cerda-Jacobo

Authors
  1. Juan C. Olivares-Rojas
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  2. Enrique Reyes-Archundia
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  3. José A. Gutiérrez-Gnecchi
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  4. Ismael Molina-Moreno
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  5. Arturo Méndez-Patiño
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  6. Jaime Cerda-Jacobo
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Correspondence to Juan C. Olivares-Rojas .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Hosei University, Tokyo, Japan

    Makoto Takizawa

  3. Osaka University, Osaka, Japan

    Tomoki Yoshihisa

  4. University of Naples “Federico II”, Napoli, Italy

    Flora Amato

  5. Fukuoka Institute of Technology, Fukuoka, Japan

    Makoto Ikeda

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Olivares-Rojas, J.C., Reyes-Archundia, E., Gutiérrez-Gnecchi, J.A., Molina-Moreno, I., Méndez-Patiño, A., Cerda-Jacobo, J. (2021). Forecasting Electricity Consumption Using Weather Data in an Edge-Fog-Cloud Data Analytics Architecture. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_41

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  • DOI: https://doi.org/10.1007/978-3-030-61105-7_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61104-0

  • Online ISBN: 978-3-030-61105-7

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