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Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive L...

Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive L...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5dcb6870de634aadaf17e2fb67895d1a

Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive Load Monitoring Data

About this item

Full title

Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive Load Monitoring Data

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2019-03, Vol.12 (6), p.992

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The electric power industry is an essential part of the energy industry as it strengthens the monitoring and control management of household electricity for the construction of an economic power system. In this paper, a non-intrusive affinity propagation (AP) clustering algorithm is improved according to the factor graph model and the belief propag...

Alternative Titles

Full title

Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive Load Monitoring Data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5dcb6870de634aadaf17e2fb67895d1a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5dcb6870de634aadaf17e2fb67895d1a

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en12060992

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