An automatic state detection algorithm for Non-intrusive load monitoring

dc.contributor.author	Dash, S.
dc.contributor.author	Gandhi, K.
dc.contributor.author	Sodhi, R.
dc.date.accessioned	2021-08-12T23:03:06Z
dc.date.available	2021-08-12T23:03:06Z
dc.date.issued	2021-08-13
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/2387
dc.description.abstract	Knowing the power consumption of individual household appliances is useful for end-user as well as utilities. There are two ways for appliance load monitoring (ALM), namely intrusive load monitoring (ILM) and non-intrusive load monitoring (NILM). This paper focuses on the NILM approach, and discusses a simple yet effective method to improve its accuracy by constructing a better knowledge-base. The proposed methodology is initially verified with the simulation using the Reference Energy Disaggregation Data (REDD) dataset, and later tested on a lab-scale hardware setup as well. Test results reveal that careful construction of knowledge-base can increase the performance of NILM algorithms. MATLAB is used as the programming platform	en_US
dc.language.iso	en_US	en_US
dc.subject	Automatic State Detection	en_US
dc.subject	Non-intrusive Load Monitoring	en_US
dc.subject	Non-intrusive Load Monitoring	en_US
dc.title	An automatic state detection algorithm for Non-intrusive load monitoring	en_US
dc.type	Article	en_US