Smart monitoring of electrical circuits for distinction of connected devices through current pattern analysis using machine learning algorithms
Objetos digitales
| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20200037262 | ||
| 003 | MAP | ||
| 005 | 20220911190415.0 | ||
| 008 | 201123e20201201esp|||p |0|||b|por d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.134 | ||
| 100 | $0MAPA20200022954$aOliveira Lima, Jean Phelipe de | ||
| 245 | 1 | 0 | $aSmart monitoring of electrical circuits for distinction of connected devices through current pattern analysis using machine learning algorithms$cJean Phelipe de Oliveira Lima, Carlos Maurício Seródio Figueiredo |
| 500 | $aArtículo en portugués | ||
| 520 | $aEnergy 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. | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20170005476$aMachine learning | |
| 650 | 4 | $0MAPA20110029234$aEficiencia energética | |
| 650 | 4 | $0MAPA20080584269$aConsumo energético | |
| 700 | 1 | $0MAPA20200023012$aSeródio Figueiredo, Carlos Maurício | |
| 773 | 0 | $wMAP20200034445$tRevista Iberoamericana de Inteligencia Artificial$dIBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-$x1988-3064$g31/12/2020 Volumen 23 Número 66 - diciembre 2020 , p. 36-50 | |
| 856 | $qapplication/pdf$w1108791$yRecurso electrónico / Electronic resource |