QoE-aware and cost-efficient home energy management under dynamic electricity prices

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

To reduce the peak load and the cost of electricity, this work proposes a QoE-aware and cost-efficient smart control algorithm for the home energy management system. The proposed algorithm reduces the peak load and the electricity bill by shifting the starting times of delay-tolerant home appliances from peak to off-peak hours. However, the maximum allowable delay of the starting time of a home appliance is constrained by a given QoE threshold. Several QoE mapping functions for various appliances were also proposed in this paper. Simulation results indicate that the proposed QoE-aware smart control algorithm significantly reduces the peak load and electricity bill while preserving the user comfort or QoE.

Original languageEnglish
Title of host publicationICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages498-501
Number of pages4
ISBN (Electronic)9781509047499
DOIs
StatePublished - 26 07 2017
Event9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy
Duration: 04 07 201707 07 2017

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
Country/TerritoryItaly
CityMilan
Period04/07/1707/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Dynamic electricity prices
  • Home automation
  • Home energy management system (HEMS)
  • Peak load
  • Quality-of-experience (QoE)
  • Smart home

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