Non-Intrusive Load Identification Using Reconstructed Voltage-Current Images

Non-intrusive load monitoring (NILM) is crucial because it helps monitor the operating status of electrical appliances online; detailed power consumption data regarding the appliances can then be obtained. However, the identification of resistive appliances that have similar features in a power grid...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2021, Vol.9, p.77349-77358
Hauptverfasser:	Jia, Dongning, Li, Yunxin, Du, Zehua, Xu, Jiali, Yin, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Convolutional neural networks Electric appliances Electric potential Electric power grids Energy management Feature extraction Home appliances Household appliances Image reconstruction load disaggregation Monitoring non-intrusive load monitoring Power consumption reconstructed VI image Threshold voltage Trajectory Voltage Waveforms
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!