Fluctuation analysis of high frequency electric power load in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F16%3A00300605" target="_blank" >RIV/68407700:21340/16:00300605 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11230/16:10324555
Result on the web
<a href="https://www.researchgate.net/deref/http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0378437116303417" target="_blank" >https://www.researchgate.net/deref/http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0378437116303417</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physa.2016.06.073" target="_blank" >10.1016/j.physa.2016.06.073</a>
Alternative languages
Result language
angličtina
Original language name
Fluctuation analysis of high frequency electric power load in the Czech Republic
Original language description
Abstract We analyze the electric power load in the Czech Republic (CR) which exhibits a seasonality as well as other oscillations typical for European countries. Moreover, we detect the 1/f noise property of electrical power load with extra additional peaks that allows to separate it into a deterministic and stochastic part. We then focus on the analysis of the stochastic part using improved Multi-fractal Detrended Fluctuation Analysis method (MFDFA) to investigate power load datasets with a minute resolution. Extracting the noise part of the signal by using Fourier transform allows us to apply this method to obtain the fluctuation function and to estimate the generalized Hurst exponent together with the correlated Hurst exponent, its improvement for the non-Gaussian datasets. The results exhibit a strong presence of persistent behaviour or strong anti-persistent behaviour for the differences and the dataset is characterized by a non-Gaussian skewed distribution. There are also indications for the presence of the probability distribution that has heavier tail than the Gaussian distribution.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BE - Theoretical physics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP402%2F12%2F2255" target="_blank" >GAP402/12/2255: General description of structural breaks in economy using Agent-Based models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
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
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Volume of the periodical
462
Issue of the periodical within the volume
Nov
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
951-961
UT code for WoS article
000381841900083
EID of the result in the Scopus database
2-s2.0-84978245656