A particle swarm optimization and branch and bound based algorithm for economical smart home scheduling

Yangyizhou Wang, Cong Hao, Takeshi Yoshimura

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

Abstract

Smart home scheduling, as one of the most effective techniques in Demand Side Management (DSM), is now attracting more and more research interests in the recent years. In this paper we propose an efficient scheduling algorithm for smart home resident to reduce the monetary cost of the electricity. The proposed algorithm is an improved particle swarm optimization(PSO) algorithm that can schedule the smart appliances under discrete power level and quadratic pricing model. Branch and bound method is adopted to map real number values to discrete power level values. Simulation results shows that our method exceeds the previous methods both in total monetary cost and execution time.

Original languageEnglish
Title of host publication2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-216
Number of pages4
Volume2017-August
ISBN (Electronic)9781509063895
DOIs
Publication statusPublished - 2017 Sep 27
Event60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
Duration: 2017 Aug 62017 Aug 9

Other

Other60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
CountryUnited States
CityBoston
Period17/8/617/8/9

Fingerprint

Particle swarm optimization (PSO)
Scheduling
Branch and bound method
Costs
Scheduling algorithms
Electricity
Demand side management

Keywords

  • Branch and Bound
  • Particle Swarm Optimization
  • Smart Home Scheduling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Wang, Y., Hao, C., & Yoshimura, T. (2017). A particle swarm optimization and branch and bound based algorithm for economical smart home scheduling. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017 (Vol. 2017-August, pp. 213-216). [8052898] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2017.8052898

A particle swarm optimization and branch and bound based algorithm for economical smart home scheduling. / Wang, Yangyizhou; Hao, Cong; Yoshimura, Takeshi.

2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Vol. 2017-August Institute of Electrical and Electronics Engineers Inc., 2017. p. 213-216 8052898.

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

Wang, Y, Hao, C & Yoshimura, T 2017, A particle swarm optimization and branch and bound based algorithm for economical smart home scheduling. in 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. vol. 2017-August, 8052898, Institute of Electrical and Electronics Engineers Inc., pp. 213-216, 60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017, Boston, United States, 17/8/6. https://doi.org/10.1109/MWSCAS.2017.8052898
Wang Y, Hao C, Yoshimura T. A particle swarm optimization and branch and bound based algorithm for economical smart home scheduling. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Vol. 2017-August. Institute of Electrical and Electronics Engineers Inc. 2017. p. 213-216. 8052898 https://doi.org/10.1109/MWSCAS.2017.8052898
Wang, Yangyizhou ; Hao, Cong ; Yoshimura, Takeshi. / A particle swarm optimization and branch and bound based algorithm for economical smart home scheduling. 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Vol. 2017-August Institute of Electrical and Electronics Engineers Inc., 2017. pp. 213-216
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