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ANN-Based Electricity Price Forecasting Under Special Consideration of Time Series Properties

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Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1007))

Abstract

If one examines the spot price series of electrical power over the course of time, it is striking that the electricity price across the day takes a course that is determined by power consumption following a day and night rhythm. This daily course changes in its height and temporal extent in both, the course of the week, as well as with the course of the year. This study deals methodologically with non-linear correlative and autocorrelative time series properties of the electricity spot price. We contribute the usage of non-fully connectionist networks in relation to fully connectionist networks to decompose non-linear correlative time series properties. Additionally, we contribute the usage of long short-term-memory network (LSTM) to discover and to deal with autocorrelation effects.

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Authors and Affiliations

  1. Kiel University of Applied Sciences, Sokratesplatz 2, 24149, Kiel, Germany

    Jan-Hendrik Meier, Stephan Schneider, Iwana Schmidt, Philip Schüller, Thies Schönfeldt & Bastian Wanke

Authors
  1. Jan-Hendrik Meier
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  2. Stephan Schneider
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  3. Iwana Schmidt
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  4. Philip Schüller
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  5. Thies Schönfeldt
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  6. Bastian Wanke
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Corresponding author

Correspondence to Jan-Hendrik Meier .

Editor information

Editors and Affiliations

  1. Zaporizhzhya National University, Zaporizhzhia, Ukraine

    Vadim Ermolayev

  2. Universidad Politecnica de Madrid, Boadilla del Monte, Madrid, Spain

    Mari Carmen Suárez-Figueroa

  3. Lviv Polytechnic National University, Lviv, Ukraine

    Vitaliy Yakovyna

  4. Institute of Applied Informatics, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr

  5. Department of Theory and Technology of Programming, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

    Mykola Nikitchenko

  6. Kherson State University, Kherson, Ukraine

    Aleksander Spivakovsky

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Meier, JH., Schneider, S., Schmidt, I., Schüller, P., Schönfeldt, T., Wanke, B. (2019). ANN-Based Electricity Price Forecasting Under Special Consideration of Time Series Properties. In: Ermolayev, V., Suárez-Figueroa, M., Yakovyna, V., Mayr, H., Nikitchenko, M., Spivakovsky, A. (eds) Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2018. Communications in Computer and Information Science, vol 1007. Springer, Cham. https://doi.org/10.1007/978-3-030-13929-2_13

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  • DOI: https://doi.org/10.1007/978-3-030-13929-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13928-5

  • Online ISBN: 978-3-030-13929-2

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