FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2274945732> ?p ?o ?g. }

• W2274945732 endingPage "961" @default.
• W2274945732 startingPage "951" @default.
• W2274945732 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 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 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." @default.
• W2274945732 created "2016-06-24" @default.
• W2274945732 creator A5001521152 @default.
• W2274945732 creator A5086114591 @default.
• W2274945732 date "2016-11-01" @default.
• W2274945732 modified "2023-10-17" @default.
• W2274945732 title "Fluctuation analysis of high frequency electric power load in the Czech Republic" @default.
• W2274945732 cites W1519585147 @default.
• W2274945732 cites W1964362270 @default.
• W2274945732 cites W1968112823 @default.
• W2274945732 cites W1971550067 @default.
• W2274945732 cites W1979683999 @default.
• W2274945732 cites W2003935235 @default.
• W2274945732 cites W2017821362 @default.
• W2274945732 cites W2023281112 @default.
• W2274945732 cites W2023583070 @default.
• W2274945732 cites W2031753087 @default.
• W2274945732 cites W2044742906 @default.
• W2274945732 cites W2057953526 @default.
• W2274945732 cites W2064515180 @default.
• W2274945732 cites W2071602085 @default.
• W2274945732 cites W2078824647 @default.
• W2274945732 cites W2084855263 @default.
• W2274945732 cites W2089217930 @default.
• W2274945732 cites W2097697329 @default.
• W2274945732 cites W2098746383 @default.
• W2274945732 cites W2101547937 @default.
• W2274945732 cites W2103484453 @default.
• W2274945732 cites W2112400936 @default.
• W2274945732 cites W2128719622 @default.
• W2274945732 cites W2136774414 @default.
• W2274945732 cites W2143193290 @default.
• W2274945732 cites W2143216869 @default.
• W2274945732 cites W2162800060 @default.
• W2274945732 cites W2169964232 @default.
• W2274945732 cites W2221831393 @default.
• W2274945732 cites W3105766563 @default.
• W2274945732 cites W3122507959 @default.
• W2274945732 cites W2081770709 @default.
• W2274945732 doi "https://doi.org/10.1016/j.physa.2016.06.073" @default.
• W2274945732 hasPublicationYear "2016" @default.
• W2274945732 type Work @default.
• W2274945732 sameAs 2274945732 @default.
• W2274945732 citedByCount "10" @default.
• W2274945732 countsByYear W22749457322017 @default.
• W2274945732 countsByYear W22749457322018 @default.
• W2274945732 countsByYear W22749457322019 @default.
• W2274945732 countsByYear W22749457322020 @default.
• W2274945732 countsByYear W22749457322022 @default.
• W2274945732 countsByYear W22749457322023 @default.
• W2274945732 crossrefType "journal-article" @default.
• W2274945732 hasAuthorship W2274945732A5001521152 @default.
• W2274945732 hasAuthorship W2274945732A5086114591 @default.
• W2274945732 hasBestOaLocation W22749457322 @default.
• W2274945732 hasConcept C102519508 @default.
• W2274945732 hasConcept C105795698 @default.
• W2274945732 hasConcept C11413529 @default.
• W2274945732 hasConcept C115961682 @default.
• W2274945732 hasConcept C120665830 @default.
• W2274945732 hasConcept C121332964 @default.
• W2274945732 hasConcept C121864883 @default.
• W2274945732 hasConcept C134306372 @default.
• W2274945732 hasConcept C138885662 @default.
• W2274945732 hasConcept C149782125 @default.
• W2274945732 hasConcept C154945302 @default.
• W2274945732 hasConcept C163716315 @default.
• W2274945732 hasConcept C168110828 @default.
• W2274945732 hasConcept C192209626 @default.
• W2274945732 hasConcept C21689155 @default.
• W2274945732 hasConcept C2524010 @default.
• W2274945732 hasConcept C2780388253 @default.
• W2274945732 hasConcept C33923547 @default.
• W2274945732 hasConcept C40636538 @default.
• W2274945732 hasConcept C41008148 @default.
• W2274945732 hasConcept C41895202 @default.
• W2274945732 hasConcept C4199805 @default.
• W2274945732 hasConcept C62520636 @default.
• W2274945732 hasConcept C96835011 @default.
• W2274945732 hasConcept C99498987 @default.
• W2274945732 hasConcept C99844830 @default.
• W2274945732 hasConceptScore W2274945732C102519508 @default.
• W2274945732 hasConceptScore W2274945732C105795698 @default.
• W2274945732 hasConceptScore W2274945732C11413529 @default.
• W2274945732 hasConceptScore W2274945732C115961682 @default.
• W2274945732 hasConceptScore W2274945732C120665830 @default.
• W2274945732 hasConceptScore W2274945732C121332964 @default.
• W2274945732 hasConceptScore W2274945732C121864883 @default.
• W2274945732 hasConceptScore W2274945732C134306372 @default.
• W2274945732 hasConceptScore W2274945732C138885662 @default.
• W2274945732 hasConceptScore W2274945732C149782125 @default.
• W2274945732 hasConceptScore W2274945732C154945302 @default.
• W2274945732 hasConceptScore W2274945732C163716315 @default.
• W2274945732 hasConceptScore W2274945732C168110828 @default.
• W2274945732 hasConceptScore W2274945732C192209626 @default.
• W2274945732 hasConceptScore W2274945732C21689155 @default.
• W2274945732 hasConceptScore W2274945732C2524010 @default.
• W2274945732 hasConceptScore W2274945732C2780388253 @default.
• W2274945732 hasConceptScore W2274945732C33923547 @default.

• next