Non-Intrusive Electric Load identification using Wavelet Transform

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Bibliographic Details
Main Author: José A. Hoyo-Montaño
Format: Artículo científico
Language:en
Published: Universidad Nacional de Colombia 2018
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author José A. Hoyo-Montaño
author_facet José A. Hoyo-Montaño
contents Non-Intrusive Electric Load identification using Wavelet Transform José A. Hoyo-Montaño Naim León-Ortega Guillermo Valencia-Palomo Rafael A. Galaz-Bustamante Daniel F. Espejel-Blanco Martín G. Vázquez-Palma Ingeniería Non Decision Tree Wavelet Transform Intrusive Load Monitoring This paper shows the development of a decision tree for the classification of loads in a non-intrusive load monitoring (NILM) system implemented in a simple board computer (Raspberry Pi 3). The decision tree uses the total energy value of the power signal of an equipment, which is generated using a discrete wavelet transform and Parseval's theorem. The power consumption data of different types of equipment were obtained from a public access database for NILM applications. The best split point for the design of the decision tree was determined using the weighted average Gini index. The tree was validated using loads available in the same public access database. 2018 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64358073006 https://www.redalyc.org/journal/643/64358073006/ https://www.redalyc.org/journal/643/64358073006/html/ https://www.redalyc.org/journal/643/64358073006/64358073006.epub https://www.redalyc.org/journal/643/64358073006/movil 10.15446/ing.investig.v38n2.70550 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.38
format Artículo científico
id redalyc_64358073006
institution Redalyc
language en
publishDate 2018
publisher Universidad Nacional de Colombia
spellingShingle Non-Intrusive Electric Load identification using Wavelet Transform
José A. Hoyo-Montaño
Ingeniería
Non
Decision Tree
Wavelet Transform
Intrusive Load Monitoring
Non-Intrusive Electric Load identification using Wavelet Transform José A. Hoyo-Montaño Naim León-Ortega Guillermo Valencia-Palomo Rafael A. Galaz-Bustamante Daniel F. Espejel-Blanco Martín G. Vázquez-Palma Ingeniería Non Decision Tree Wavelet Transform Intrusive Load Monitoring This paper shows the development of a decision tree for the classification of loads in a non-intrusive load monitoring (NILM) system implemented in a simple board computer (Raspberry Pi 3). The decision tree uses the total energy value of the power signal of an equipment, which is generated using a discrete wavelet transform and Parseval's theorem. The power consumption data of different types of equipment were obtained from a public access database for NILM applications. The best split point for the design of the decision tree was determined using the weighted average Gini index. The tree was validated using loads available in the same public access database. 2018 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64358073006 https://www.redalyc.org/journal/643/64358073006/ https://www.redalyc.org/journal/643/64358073006/html/ https://www.redalyc.org/journal/643/64358073006/64358073006.epub https://www.redalyc.org/journal/643/64358073006/movil 10.15446/ing.investig.v38n2.70550 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.38
title Non-Intrusive Electric Load identification using Wavelet Transform
topic Ingeniería
Non
Decision Tree
Wavelet Transform
Intrusive Load Monitoring
url https://www.redalyc.org/articulo.oa?id=64358073006
https://www.redalyc.org/journal/643/64358073006/
https://www.redalyc.org/journal/643/64358073006/html/
https://www.redalyc.org/journal/643/64358073006/64358073006.epub
https://www.redalyc.org/journal/643/64358073006/movil