Wireless sensor network and stochastic models for household power management

Francisco J. Bellido-Outeiriño, José M. Flores-Arias, Matías Liñan-Reyes, Emilio J. Palacios-García, Juan J. Luna-Rodríguez

Research output: Contribution to journalJournal articleResearchpeer-review

25 Citations (Scopus)

Abstract

Energy consumption in the residential sector represents a global average of around 30% of the total consumed in the country, so any improvement that could reduce it, would have significant effects. Some of these upgrades are the incorporation of advanced communication and control algorithms based on predictive models of household consumption. This article describes the design, development and application of a fully centralized system in which home appliances are managed by a wireless sensor network. The management algorithms are based on consumption models in combination with timing schedule, power, temperature or ambient light measurements and prioritization. On the control side, on-off management is basically presented although DALI protocol for lighting continuous regulation is now implemented too. Finally it presents future work in this field.

Original languageEnglish
Article number6626228
JournalIEEE Transactions on Consumer Electronics
Volume59
Issue number3
Pages (from-to)483-491
Number of pages9
ISSN0098-3063
DOIs
Publication statusPublished - 11 Nov 2013
Externally publishedYes

Keywords

  • energydemand model
  • Smart grids
  • smart metering
  • wireless sensor networks

Fingerprint

Dive into the research topics of 'Wireless sensor network and stochastic models for household power management'. Together they form a unique fingerprint.

Cite this