Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers

Hussain Shareef, Maytham S. Ahmed, Azah Mohamed, Eslam Al Hassan

Research output: Contribution to journalArticlepeer-review

207 Citations (Scopus)

Abstract

The increasing demand for electricity and the emergence of smart grids have presented new opportunities for a home energy management system (HEMS) that can reduce energy usage. The HEMS incorporates a demand response (DR) tool that shifts and curtails demand to improve home energy consumption. This system commonly creates optimal consumption schedules by considering several factors, such as energy costs, environmental concerns, load profiles, and consumer comfort. With the deployment of smart meters, performing load control using the HEMS with DR-enabled appliances has become possible. This paper provides a comprehensive review on previous and current research related to the HEMS by considering various DR programs, smart technologies, and load scheduling controllers. The application of artificial intelligence for load scheduling controllers, such as artificial neural network, fuzzy logic, and adaptive neural fuzzy inference system, is also reviewed. Heuristic optimization techniques, which are widely used for optimal scheduling of various electrical devices in a smart home, are also discussed.

Original languageEnglish
Pages (from-to)24498-24509
Number of pages12
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - Apr 28 2018

Keywords

  • Home energy management system
  • demand response
  • integrated wireless technology
  • intelligent scheduling controller
  • smart technologies

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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