Mining for similarities in time series data using wavelet-based feature vectors and neural networks

Abstract

This paper presents a comparison between different wavelet feature vectors for data mining of nonstationary time series that occurs in an electricity supply network. Three different wavelet algorithms are simulated and applied on nine classes of power signal time series, which primarily belongs to an important problem area called electric power quality. In… (More)
DOI: 10.1016/j.engappai.2006.06.018

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