Evidence of crossover phenomena in wind-speed data

  title={Evidence of crossover phenomena in wind-speed data},
  author={Rajesh G. Kavasseri and Radhakrishnan Nagarajan},
  journal={IEEE Transactions on Circuits and Systems I: Regular Papers},
  • R. Kavasseri, R. Nagarajan
  • Published 2004
  • Mathematics, Physics, Computer Science
  • IEEE Transactions on Circuits and Systems I: Regular Papers
In this paper, a systematic analysis of hourly wind-speed data obtained from three potential wind-generation sites (in North Dakota) is analyzed. The power spectra of the data exhibited a power-law decay characteristic of 1/f/sup /spl alpha// processes with possible long-range correlations. Conventional analysis using Hurst exponent estimators proved to be inconclusive. Subsequent analysis using detrended fluctuation analysis revealed a crossover in the scaling exponent (/spl alpha/). At short… Expand
Examination of persistence properties of wind speed records using detrended fluctuation analysis
Wind speed is one the most important variables of the wind phenomena. Thus, it is important to investigate the main temporal and spatial characteristics of the wind speed to benefit greatly from itsExpand
Multiscale multifractal analysis of near-surface wind speed time series
Understanding the temporal/spatial behavior and dynamics of wind speed is of great importance for model building, wind prediction and sensor design. In the present study, we employ a recentlyExpand
Power spectrum and multifractal detrended fluctuation analysis of high-frequency wind measurements in mountainous regions
The main objective of the study was to investigate the temporal features of the wind speed in complex mountainous terrains that are important for the assessment and development of wind energy. SixExpand
Long-term correlations in hourly wind speed records in Pernambuco, Brazil
We study the statistical properties of hourly wind speed time series detected at four weather stations in the state of Pernambuco, Brazil, in the period 2008–2009. We find that the average andExpand
Mean wind speed persistence over China
Abstract The wind speed persistence is an important factor in the assessment of wind energy potential. In this paper, we explore the persistence of Mean Wind Speed (MWS) with many years of recordExpand
Analysis of long-range correlations of wind speed in different regions of Bahia and the Abrolhos Archipelago, Brazil
Abstract This work analyzes the time series of wind speeds in different regions of the state of Bahia and the Abrolhos Archipelago, Brazil, through the use of the DFA technique (Detrended FluctuationExpand
Multiparametric statistical and dynamical analysis of angular high-frequency wind speed time series
Abstract High frequency data from the city of Petrolina, Northeast Brazil, are used to find the wind speed projection series at different angles, which are then analyzed by using several statisticalExpand
Correlated power time series of individual wind turbines: A data driven model approach
Wind farms can be regarded as complex systems that are, on the one hand, coupled to the nonlinear, stochastic characteristics of weather and, on the other hand, strongly influenced by supervisoryExpand
Wavelet Scale Variance Analysis of Wind Extremes in Mountainous Terrains
The 10-min average wind speed series recorded at 130 stations distributed rather homogeneously in the territory of Switzerland are investigated. Fixing a percentile-based threshold of the wind speedExpand
Influence of Sub-Daily Variation on Multi-Fractal Detrended Fluctuation Analysis of Wind Speed Time Series
It is proposed that during the MF-DFA of WSTS, the segment length should be longer than 1 day and the diel variation of wind should be maintained to avoid abnormal phenomena and discrepancy in scaling exponents. Expand


Structure function analysis of long-range correlations in plasma turbulence
Long-range correlations (temporal and spatial) have been predicted in a number of different turbulence models, both analytical and numerical. These long-range correlations are thought toExpand
Investigation of rescaled range analysis, the Hurst exponent, and long-time correlations in plasma turbulence
A detailed investigation of rescaled range (R/S) analysis to search for long-time correlations (via the Hurst exponent, H) in plasma turbulence is presented. In order to elucidate important issuesExpand
Effect of trends on detrended fluctuation analysis.
It is shown how to use DFA appropriately to minimize the effects of trends, how to recognize if a crossover indicates indeed a transition from one type to a different type of underlying correlation, or if the crossover is due to a trend without any transition in the dynamical properties of the noise. Expand
Application of the detrended fluctuation analysis (DFA) method for describing cloud breaking
A method to sort out correlations and decorrelations in stratus cloud formation, persistence and breakup is introduced. The detrended fluctuation analysis (DFA) statistical method is applied toExpand
Long-term persistence and multifractality of river runoff records: Detrended fluctuation studies
We study temporal correlations and multifractal properties of long river discharge records from 41 hydrological stations around the globe. To detect long-term correlations and multifractal behaviourExpand
Indication of a Universal Persistence Law Governing Atmospheric Variability
We study the temporal correlations in the atmospheric variability by 14 meteorological stations around the globe, the variations of the daily maximum temperatures from their average values. We applyExpand
Space-time modeling with long-memory dependence: assessing Ireland's wind-power resource. Technical report
The Irish government has, in recent years, been considering the possibility of using wind energy to meet a significant portion of Ireland's energy needs. This paper describes a project aimed atExpand
Wavelet Analysis of Long-Range-Dependent Traffic
A wavelet-based tool for the analysis of long-range dependence and a related semi-parametric estimator of the Hurst parameter is introduced. The estimator is shown to be unbiased under very generalExpand
Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series.
A new method--detrended fluctuation analysis (DFA)--for quantifying this correlation property in non-stationary physiological time series is described and application of this technique shows evidence for a crossover phenomenon associated with a change in short and long-range scaling exponents. Expand
Testing for nonlinearity in time series: the method of surrogate data
A statistical approach for identifying nonlinearity in time series which is demonstrated for numerical data generated by known chaotic systems, and applied to a number of experimental time series, which arise in the measurement of superfluids, brain waves, and sunspots. Expand