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Análise de métodos para detecção de mudanças estruturais em séries temporais climáticas
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS CLIMÁTICAS, 2014-08-15)
The time series analysis has played an increasingly important role in weather and climate
studies. The success of these studies depends crucially on the knowledge of the quality of
climate data such as, for instance, air ...
Persistent homology for time series and spatial data clustering
(Pergamon/ElsevierOxford, 2015-09)
Topology is the branch of mathematics that studies how objects relate to one another for their qualitative structural properties, such as connectivity and shape. In this paper, we present an approach for data clustering ...
Updating of a nonlinear finite element model using discrete-time volterra series
(2017-01-01)
In this study, the discrete-time Volterra series are used to update parameters in a nonlinear finite element model. The main idea of the Volterra series is to describe the discrete-time output of a nonlinear system using ...
Modelos de previsão na otimização de usinas elétricas virtuais
(Universidade Federal de Santa MariaBrasilUFSMCentro de Ciências Naturais e Exatas, 2022-07-20)
The work analyzed ARIMA models for forecasting day-ahead price clearing markets. The
models were based on time series analysis and provide reliable and accurate market price
predictions. The objective was to verify the ...
Proyecciones de rabia canina en Argentina, Bolivia y Paraguay, usando series de tiempo
(1997)
Monthly prevalence of canine rabies in Argentina (1971-1993), Bolivia (1987-1993) and Paraguay (1976-1993) were analyzed to identify seasonal cycles of the disease. Moreover, data to forecast the evolution of rabies were ...
Detecting trends in time series of functional data: a study of antarctic climate change
(Wiley, 2014-12)
The Spanish Antarctic Station Juan Carlos I has been registering surface air temperatures with the frequency of one reading per ten minutes since the austral summer 1987-88. Although this data set contains valuable information ...