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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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BE - Theoretical physics

  • OECD FORD branch

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

  • 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