On Maximizing User Comfort Using a Novel Meta-Heuristic Technique in Smart Home

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)


The day by day increase in population is producing a gap between the demand and supply of electricity. Installation of new electricity generation system is not a good solution to tackle the high demand of electricity. To get the most out of the existing system, several demand response schemes have been presented by researchers. These schemes try to schedule the appliances in such a way that electricity consumption cost and peak-to-average ratio are minimized along with maximum user comfort. However, there exists a trade-off between user comfort and electricity consumption cost. In this paper, a novel scheme is developed for the home energy management system to schedule the home appliances in such a way that comforts the consumers economically. To evaluate the effectiveness of our proposed scheme, comparison is performed with two well known meta-heuristic techniques namely Flower Pollination Algorithm (FPA) and Jaya Optimization Algorithm (JOA). Experimental results shows that the proposed scheme outperforms FPA and JOA in appliances waiting time reduction. Furthermore, the proposed scheme reduced the electricity consumption cost and peak to average ratio by 58% and 56% respectively as compared to unscheduled scenario.


Smart home Smart grid Meta-heuristic techniques Home energy management Demand response 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.COMSATS University IslamabadIslamabadPakistan
  2. 2.Computer Information ScienceHigher Colleges of TechnologyFujairahUAE

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