An embedded prototype of a residential smart appliance scheduling system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Demand Response (DR) is seen as one of the key enabling factors in the emerging smart grid. DR takes many forms, including residential smart appliance scheduling. Scheduling algorithms capable of achieving near-minimum cost solutions with low computational overhead are required in order to autonomously respond to varying utility pricing signals. In this paper, the focus is upon an embedded software prototype implementation of a residential load scheduling system. It describes the implementation and testing of a heuristic algorithm for household energy management on a small embedded processor. The performance of the prototype implementation is validated against previously reported experiments and simulations. Test results indicate that the heuristic is efficient enough to be co-located on a small smart meter with limited memory and processing power without any difficulties, helping to open the way for practical consumer demand response.

Original languageEnglish
Title of host publication2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2016-November
ISBN (Electronic)9781509013142
DOIs
Publication statusPublished - 7 Nov 2016
Event21st IEEE International Conference on Emerging Technologies and Factory Automation - Berlin, Germany
Duration: 6 Sep 20169 Sep 2016

Conference

Conference21st IEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA 2016
CountryGermany
CityBerlin
Period6/09/169/09/16

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    Ogwumike, C., Short, M., & Abugchem, F. (2016). An embedded prototype of a residential smart appliance scheduling system. In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016 (Vol. 2016-November). [7733613] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2016.7733613