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Neural System for Power Load Prediction in a Week Time Horizon

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

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Abstract

In this paper a neural system for predicting electric power load in Poland in a week time horizon is presented. The system consists of seven multi-layer neural networks that have common input. Each network is dedicated to predict the total load in one of the seven successive days. Various form of input vectors as well as various ways of encoding them were tested. Verification which type of input data are crucial as well as which periodic aspects should be taken into account in data representation in week prediction was studied. Various numbers of neurons in a hidden layer were tested as well. The mean absolute percentage error (MAPE) is equal to 2.6 % for the most effective system.

The paper was supported by the National Centre for Research and Development under Grant no. WND-DEM-1-153/01.

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Authors and Affiliations

  1. Chair of Applied Computer Science, Faculty of Automation, Electrical Engineering, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Andrzej Bielecki & Marcin Lenart

Authors
  1. Andrzej Bielecki
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  2. Marcin Lenart
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Corresponding author

Correspondence to Andrzej Bielecki .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2016 Springer International Publishing Switzerland

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Bielecki, A., Lenart, M. (2016). Neural System for Power Load Prediction in a Week Time Horizon. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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