Fluctuation analysis of electric power loads in Europe: Correlation multifractality vs. Distribution function multifractality

Hynek Lavicka and Jiri Kracik

Papers from arXiv.org

Abstract: We analyze the time series of the power loads of the 35 separated countries publicly sharing hourly data through ENTSO-E platform for more than 5 years. We apply the Multifractal Detrended Fluctuation Analysis for the demonstration of the multifractal nature, autocorrelation and the distribution function fundamentals. Additionally, we improved the basic method described by Kanterhardt, et al using uniform shuffling and surrogate the datasets to prove the robustness of the results with respect to the non-linear effects of the processes. All the datasets exhibit multifractality in the distribution function as well as in the autocorrelation function. The basic differences between individual states are manifested in the width of the multifractal spectra and in the location of the maximum. We present the hypothesis about the production portfolio and the export/import dependences.

Date: 2017-06
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