Uso do Algoritmo PARAFAC-EM para Preenchimento de Falhas em Séries Temporais de Velocidade do Vento na Região Nordeste do Brasil
DOI:
https://doi.org/10.26848/rbgf.v18.1.p077-094Keywords:
Data imputation, wind speed, PARAFAC-EM algorithmAbstract
This study evaluates the performance of a method for filling gaps in meteorological data time series, for wind speed data series, using the PARAFAC-EM algorithm. Hourly average wind speed data obtained from data collection platforms in the municipalities of Acopiara and Sobral in the state of Ceará/Brazil were used, totalling 8,640 records for each year in each region. Next, gaps were induced in the data series of 10%, 30% and 50%, which were filled in with PARAFAC-EM models to determine the rank with the best result. The performance of the proposed method was validated by calculating statistical metrics and applying Student's t-test. The results obtained showed that the proposed method with rank = 2 had the best performance in estimating the gaps in the data series, with statistical correlation classified as moderate in filling the gaps of 10%, 30% and 50% for the Acopiara/CE region, and from strong to very strong for the Sobral/CE region, with a significance level of 99%.
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