Characterization of electric load with information theory quantifiers
"This paper presents a study of the electric load behavior based on the Causality Complexity–Entropy Plane.We use a public data set, namely REDD, which contains detailed power usage information from several domestic appliances. In our characterization, we use the available power data of the cir...
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Acceso en línea: | http://ri.itba.edu.ar/handle/123456789/1686 |
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I32-R138-123456789-16862022-12-07T13:06:26Z Characterization of electric load with information theory quantifiers Aquino, Andre L. L. Ramos, Heitor S. Frery, Alejandro C. Viana, Leonardo P. Cavalcante, Tamer S. G. Rosso, Osvaldo A. CARGAS ELECTRICAS ENTROPIA TEORIA DE LA INFORMACION PROCESAMIENTO DE SEÑALES "This paper presents a study of the electric load behavior based on the Causality Complexity–Entropy Plane.We use a public data set, namely REDD, which contains detailed power usage information from several domestic appliances. In our characterization, we use the available power data of the circuit/devices of all houses. The Bandt–Pompe methodology combined with the Causality Complexity–Entropy Plane was used to identify and characterize regimes and behaviors over these data. The results showed that this characterization provides a useful insight into the underlying dynamics that govern the electric load." 2019-07-26T19:11:01Z 2019-07-26T19:11:01Z 2017-01 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 0378-4371 http://ri.itba.edu.ar/handle/123456789/1686 en info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2016.08.017 info:eu-repo/grantAgreement/CNPq/481631/2013-5/BR. Brasilia info:eu-repo/grantAgreement/FAPEAL/20110720-006-0018-0006/BR. Alagoas. Maceió application/pdf |
institution |
Instituto Tecnológico de Buenos Aires (ITBA) |
institution_str |
I-32 |
repository_str |
R-138 |
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Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) |
language |
Inglés |
topic |
CARGAS ELECTRICAS ENTROPIA TEORIA DE LA INFORMACION PROCESAMIENTO DE SEÑALES |
spellingShingle |
CARGAS ELECTRICAS ENTROPIA TEORIA DE LA INFORMACION PROCESAMIENTO DE SEÑALES Aquino, Andre L. L. Ramos, Heitor S. Frery, Alejandro C. Viana, Leonardo P. Cavalcante, Tamer S. G. Rosso, Osvaldo A. Characterization of electric load with information theory quantifiers |
topic_facet |
CARGAS ELECTRICAS ENTROPIA TEORIA DE LA INFORMACION PROCESAMIENTO DE SEÑALES |
description |
"This paper presents a study of the electric load behavior based on the Causality Complexity–Entropy Plane.We use a public data set, namely REDD, which contains detailed power usage information from several domestic appliances. In our characterization, we use the available power data of the circuit/devices of all houses. The Bandt–Pompe methodology combined with the Causality Complexity–Entropy Plane was used to identify and characterize regimes and behaviors over these data. The results showed that this characterization provides a useful insight into the underlying dynamics that govern the electric load." |
format |
Artículos de Publicaciones Periódicas acceptedVersion |
author |
Aquino, Andre L. L. Ramos, Heitor S. Frery, Alejandro C. Viana, Leonardo P. Cavalcante, Tamer S. G. Rosso, Osvaldo A. |
author_facet |
Aquino, Andre L. L. Ramos, Heitor S. Frery, Alejandro C. Viana, Leonardo P. Cavalcante, Tamer S. G. Rosso, Osvaldo A. |
author_sort |
Aquino, Andre L. L. |
title |
Characterization of electric load with information theory quantifiers |
title_short |
Characterization of electric load with information theory quantifiers |
title_full |
Characterization of electric load with information theory quantifiers |
title_fullStr |
Characterization of electric load with information theory quantifiers |
title_full_unstemmed |
Characterization of electric load with information theory quantifiers |
title_sort |
characterization of electric load with information theory quantifiers |
publishDate |
2019 |
url |
http://ri.itba.edu.ar/handle/123456789/1686 |
work_keys_str_mv |
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_version_ |
1765661093850513408 |