New Appliance Detection for Nonintrusive Load Monitoring

Current methods for nonintrusive load monitoring (NILM) problems assume that the number of appliances in the target location is known, however, this may not be realistic. In real-world situations, the initial setup of the site can be known but new appliances may be added by users after a period of t...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2019-08, Vol.15 (8), p.4819-4829
Hauptverfasser:	Zhang, Jianjun, Chen, Xuanqun, Ng, Wing W. Y., Lai, Chun Sing, Lai, Loi Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Air conditioners Air conditioning Appliances Coffee Hidden Markov models Home appliances Household appliances Imbalance classification Load Monitoring multilabel classification new appliance detection Noise measurement nonintrusive load monitoring (NILM) Oversampling Sensors Switches Switching Training
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