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

Yangyizhou Wang, Cong Hao, Takeshi Yoshimura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ213-216
ページ数4
2017-August
ISBN(電子版)9781509063895
DOI
出版ステータスPublished - 2017 9 27
イベント60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
継続期間: 2017 8 62017 8 9

Other

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

ASJC Scopus subject areas

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

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