Smart monitoring of electrical circuits for distinction of connected devices through current pattern analysis using machine learning algorithms
Título: Smart monitoring of electrical circuits for distinction of connected devices through current pattern analysis using machine learning algorithms / Jean Phelipe de Oliveira Lima, Carlos Maurício Seródio Figueiredo
Notas: Artículo en portugués
Sumario: Energy Monitoring is a crucial activity in Energy Eciency, which involves the study of techniques to supervise the energy consumption in a power grid, regarding the main purpose is to assure a good level of detail, to achieve consumption quotas for each connected device, for a low infrastructure cost. This paper presents the evaluation of dierent Machine Learning models to classify electric current patterns to identify and monitor electric charges present in circuits with a single sensing device. The models were trained and validated by a database created from signal samples of 4 electrical devices: Notebook Charger, Refrigerator, Blender and Fan. The models that presented the best metrics achieved, respectively, 97% and 100% Accuracy and 98% and 100% F1-Score, surpassing results obtained in related researches.
Registros relacionados: En: Revista Iberoamericana de Inteligencia Artificial. - IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 31/12/2020 Volumen 23 Número 66 - diciembre 2020 , p. 36-50
Autores secundarios: Seródio Figueiredo, Carlos Maurício
Otras clasificaciones: 922.134
Derechos: In Copyright (InC): http://rightsstatements.org/vocab/InC/1.0/