Abstract
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.
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Khan, S., Khan, Z.A., Javaid, N., Ahmad, W., Abbasi, R.A., Faisal, H.M. (2020). On Maximizing User Comfort Using a Novel Meta-Heuristic Technique in Smart Home. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_3
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DOI: https://doi.org/10.1007/978-3-030-15032-7_3
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