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|Type:||Artigo de periódico|
|Title:||Non-parametric estimation for aggregated functional data for electric load monitoring|
|Abstract:||In this work we address the problem of estimating mean and covariance Curves when the available sample consists of aggregated functional data. Consider a population divided into sub-populations for which one wants to estimate the mean (typology) and covariance curves for each sub-population. However, it is not possible (or too expensive) to obtain sample Curves for single individuals. The available data are collective curves, sum of curves of different subsets of individuals belonging to the sub-populations. We propose an estimation method based on B-splines expansion. This method is consistent and simulation studies Suggest that the proposed mean estimator is suitable even with very few replications. This problem was motivated by a real problem concerning the efficient distribution of electric energy in Southeast Brazil. Copyright (C) 2008 John Wiley & Sons, Ltd.|
electric load monitoring
|Editor:||John Wiley & Sons Ltd|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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