Home energy management system for interconnecting and sensing of electric appliances

Wei Ting Cho, Chin Feng Lai, Yueh Min Huang, Wei Tsong Lee, Sing Wei Huang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Due to the variety of household electric devices and different power consumption habits of consumers at present, general home energy management (HEM) systems suffer from the lack of dynamic identification of various household appliances and a unidirectional information display. This study presented a set of intelligent interconnection network systems for electric appliances, which can measure the power consumption of household appliances through a current sensing device based on OSGi platform. The system establishes the characteristics and categories of related electric appliances, and searches the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the clustering algorithm. The system also integrates household appliance control network services so as to control them according to users' power consumption plans or through mobile devices, thus realizing a bidirectional monitoring service. When the system detects an abnormal operating state, it can automatically shut off electric appliances to avoid accidents. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances through the ZigBee network.

Original languageEnglish
Pages (from-to)1274-1292
Number of pages19
JournalKSII Transactions on Internet and Information Systems
Volume5
Issue number7
DOIs
Publication statusPublished - 2011 Jul 28

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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