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Time Series Prediction for Electric Power Industry with the Help of Syntactic Pattern Recognition

  • Mariusz FlasińskiEmail author
  • Janusz Jurek
  • Tomasz Peszek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9972)

Abstract

Load prediction is one of the most important problems in electric power industry. The prediction is usually made with the help of standard time series analysis models. The novel syntactic pattern recognition-based model for the load prediction is defined in the paper. The Syntactic Pattern Recognition-based Electrical Load Prediction (SPRELP) System is described and the results concerning the reduction of the forecasting error with the comparison with other methods are presented.

Keywords

Forecast Error Electrical Load Probabilistic Neural Network Load Forecast Electric Power Industry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Mariusz Flasiński
    • 1
    Email author
  • Janusz Jurek
    • 1
  • Tomasz Peszek
    • 1
  1. 1.Information Technology Systems DepartmentJagiellonian University in CracowKrakówPoland

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