Smart monitoring of electrical circuits for distinction of connected devices through current pattern analysis using machine learning algorithms

Smart monitoring of electrical circuits for distinction of connected devices through current pattern analysis using machine learning algorithms

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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.

Otras clasificaciones: 922.134

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