Novelty Detection Based on Dynamic Time Warping Similarity Metric Applied to Power Quality Signals-Reference-Cited by-同舟云学术

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Novelty Detection Based on Dynamic Time Warping Similarity Metric Applied to Power Quality Signals

Published:2022-05-29 Issue: Volume: Page:
ISSN:
Container-title:2022 20th International Conference on Harmonics & Quality of Power (ICHQP)
language:
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Author:

Lopes Pires Paulo Victor¹,Carneiro Travassos Fabricio¹,Kapisch Eder Barboza¹,Rodrigues Manso Silva Leandro¹,Duque Carlos Augusto¹,Fernando Ribeiro Paulo²

Affiliation:

1. Federal University of Juiz de Fora,Department of Electrical Engineering,Juiz de Fora,Brasil

2. Federal University of Itajubá,Department of Electrical Engineering,Itajubá,Brasil

Funder

EMI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9808360/9808440/09808685.pdf?arnumber=9808685

Reference21 articles.

1. The String-to-String Correction Problem

2. Time Warps, String Edits, and Macromolecules – The Theory and Practice of Sequence Comparison. David Sankoff and Joseph Kruskal. ISBN 1-57586-217-4. Price £13.95 (US$22·95).

3. Toward accurate dynamic time warping in linear time and space

4. Universal Waveshape-Based Disturbance Detection in Power Quality Data Using Similarity Metrics

5. Learning optimal warping window size of DTW for time series classification

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1. A novelty detection method for efficient data storage in smart grids;Electric Power Systems Research;2024-09

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