Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

Akira Yoshida*, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.

Original languageEnglish
Pages (from-to)1632-1639
Number of pages8
JournalEnergy and Buildings
Publication statusPublished - 2018 Jan 1


  • Energy management system
  • Fuel cell
  • JIT modeling
  • Mean-variance model
  • Stochastic receding horizon control

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering


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