A home energy management algorithm in demand response events for household peak load reduction

Maytham S. Ahmed, Azah Mohamed, Raad Z. Homod, Hussain Shareef

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


In the last decades, home energy consumption has increased significantly due to increasing load demand in the residential sector. This paper presents a home energy management (HEM) algorithm to manage the home appliances in a house during a demand response (DR) event. The developed algorithm considers load appliances according to customer preference setting, priority of appliance, and comfortable lifestyle that can be changed at any given time and performs DR at appliance level. The load models are developed based on the operational and physical characteristics for the purpose of DR strategies. Appropriate residential load models are required to support the DR strategies and therefore air conditioner, water heater, electric vehicle and washing machine are chosen as the loads. The proposed HEM algorithm is shown to be effective in managing power consumption at appliances level and can maintain the total household power consumption below its demand limit (DL) without affecting the comfort level.

Original languageEnglish
Pages (from-to)197-200
Number of pages4
JournalPrzeglad Elektrotechniczny
Issue number3
Publication statusPublished - 2017


  • Demand response
  • Energy efficiency
  • Home energy management
  • Peak load reduction
  • Smart appliance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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