Short Term Power Prediction of the Photovoltaic Power Station Based on Power Profiles

  • Martin Radvanský
  • Miloš Kudělka
  • Václav Snášel
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 303)

Abstract

The use of solar energy has undergone rapid development in recent years. Photovoltaic power stations (PVPS) are often used as a source of power for smart off–grid houses. Integration of this kind of energy source is challenging because it is a source of variably generated power due to meteorological uncertainty. In this paper, we present results of the short term prediction method of generated power for small PVPS based on self–organizing maps and previously introduced power profiles.

Keywords

prediction photovoltaic power station power profiles 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Martin Radvanský
    • 1
  • Miloš Kudělka
    • 1
  • Václav Snášel
    • 1
  1. 1.VSB Technical University OstravaOstravaCzech Republic

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