Fluctuation analysis of electric power loads in Europe: Correlation multifractality vs. Distribution function multifractality
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F20%3A10403822" target="_blank" >RIV/00216208:11230/20:10403822 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/20:00346498
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=c4FN4uxKrr" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=c4FN4uxKrr</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physa.2019.123821" target="_blank" >10.1016/j.physa.2019.123821</a>
Alternative languages
Result language
angličtina
Original language name
Fluctuation analysis of electric power loads in Europe: Correlation multifractality vs. Distribution function multifractality
Original language description
We analyzed the timeseries of power loads of 35 separate countries which publicly share hourly data through the ENTSO-E platform for more than 5 years. Moreover we applied 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 Kantelhardt, et al using uniform shuffling and surrogation of the datasets in order to prove the robustness of the results with respect to the non-linear effects of the processes. All the datasets exhibited 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 maxima. We present the hypothesis concerning the production portfolio and the export/import dependencies.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50201 - Economic Theory
Result continuities
Project
<a href="/en/project/GA19-16066S" target="_blank" >GA19-16066S: Nonlinear interactions and information transfer in complex systems with extreme events</a><br>
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physica A: Statistical Mechanics and its Applications
ISSN
0378-4371
e-ISSN
—
Volume of the periodical
545
Issue of the periodical within the volume
May
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
15
Pages from-to
1-15
UT code for WoS article
000526845600061
EID of the result in the Scopus database
2-s2.0-85077716402