Results 21 to 30 of about 10,422 (231)
Multifractal detrended fluctuation analysis of rainfall time series in the Guadeloupe archipelago [PDF]
Journal of Hydrology, 2023 Due to the vulnerability of the Caribbean islands to the climate change issue, it is important to investigate the behavior of rainfall. In addition, the soil of the French West Indies Islands has been contaminated by an insecticide (Chlordecone) whose ...
Javier Gómez-Gómez +5 more
semanticscholar +1 more source
The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
تحقیقات مالی, 2012 One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
doaj +1 more source
Topics in Cognitive Science, EarlyView., 2023 Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot +5 more
wiley +1 more source
Protection and Control of Modern Power Systems, 2022 This paper presents fault detection, classification, and location for a PV-Wind-based DC ring microgrid in the MATLAB/SIMULINK platform. Initially, DC fault signals are collected from local measurements to examine the outcomes of the proposed system ...
K. Anjaiah, P. Dash, M. Sahani
semanticscholar +2 more sources
Fractal and Fractional, 2023 In this article, we investigate the market efficiency of global stock markets using the multifractal detrended fluctuation analysis methodology and analyze the results by dividing them into developed, emerging, and frontier groups.
Min-Jae Lee, S. Choi
semanticscholar +1 more source
TESTING FOR INTRINSIC MULTIFRACTALITY IN THE GLOBAL GRAIN SPOT MARKET INDICES: A MULTIFRACTAL DETRENDED FLUCTUATION ANALYSIS [PDF]
Fractals, 2023 Grains account for more than 50% of the calories consumed by people worldwide, and military conflicts, pandemics, climate change, and soaring grain prices all have vital impacts on food security.
Li Wang, Xing-Lu Gao, Wei Zhou
semanticscholar +1 more source
Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature
Remote Sensing, 2020 Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was applied to time series of global methane concentrations and remotely-sensed temperature anomalies of the global lower and mid-troposphere, with the purpose of investigating the multifractal ...
Chris G. Tzanis +3 more
doaj +1 more source
IEEE Access, 2020 Power-grid faults pose a great threat to the economy and to social stability. In this paper, the detrended fluctuation analysis method is used to investigate the scaling properties of power grid faults and the correlation between faults and ...
Tejun Zhou +3 more
doaj +1 more source
Multifractal detrended fluctuation analysis of sunspot time series [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2006 9 pages, 6 ...
Movahed, M. Sadegh +4 more
openaire +2 more sources
Fractal and Fractional, 2023 Financial prediction persists a strenuous task in Fintech research. This paper introduces a multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA)-based deep learning forecasting model to predict a succeeding day log return via ...
Luochao Wang, Raymond S. T. Lee
doaj +1 more source