MULTIFRACTAL ANALYSIS OF SOLAR RADIATION IN THE NORTHEASTERN REGION OF BRAZIL

Fã Bio Sandro Dos Santos, Kerolly Kedma Felix Do Nascimento, Jader Silva Jale, LVIO FERNANDO ALVES XAVIER JÚNIOR Sã and Tiago A. E. Ferreira
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Fã Bio Sandro Dos Santos: Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel, de Medeiros s/n, Dois Irmãos, 52171-900, Recife, Pernambuco, Brazil
Kerolly Kedma Felix Do Nascimento: ��Teacher Training Center, Federal University of Pernambuco, Av. Marielle Franco, s/n - Km 59 - Nova, PE, 55014-900 Caruaru, Pernambuco, Brazil
Jader Silva Jale: Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel, de Medeiros s/n, Dois Irmãos, 52171-900, Recife, Pernambuco, Brazil
LVIO FERNANDO ALVES XAVIER JÚNIOR Sã: ��Department of Statistics, State University of Paraíba, Rua Baraúnas, n∘ 351, Bodocongó, Campina Grande/PB, 58109-753 Campina Grande, Paraíba, Brazil
Tiago A. E. Ferreira: Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel, de Medeiros s/n, Dois Irmãos, 52171-900, Recife, Pernambuco, Brazil

FRACTALS (fractals), 2023, vol. 31, issue 03, 1-11

Abstract: In this work, we used hourly data of high frequency of solar radiation from the entire Northeast region of Brazil. We used the Multifractal Detrended Fluctuation Analysis (MFDFA) method to analyze the characteristics of the solar radiation series in 137 meteorological stations from 2010 to 2022. For all analyzed series, the parameter α0 > 0.5 characterizes persistent series. The values of r > 1 reveal asymmetry to the right, indicating that large fluctuations contributed to the multifractality process. The states of Maranhão and Bahia presented the highest values of spectrum width W, indicating greater complexity. We found that long-range correlations are the leading cause of multifractality observed in the dynamics of the series of solar radiation anomalies.

Keywords: Multifractal; Solar Energy; Solar Radiation; Persistence; Complexity (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0218348X23500263

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