Abstract
Recently a massive increase in the demand of energy has been reported in residential, industrial and commercial sectors. Traditional Grid (TG) with the aging infrastructure is unable to address the increasing demand problem. Smart Grid (SG) enhanced the TG by adopting information and communication based technological solutions to address the increasing electricity demand. Smart Home Energy Management System (SHEMS) plays an important role in the efficacy of SG. In this paper, an Improved Algorithm for Peak to average ratio Reduction (IAPR) in SHEMS is developed. To validate the effectiveness of the IAPR, comparison is made with the renowned meta-heuristic optimization approaches namely Strawberry Algorithm (SA) and Salp Swarm Algorithm (SSA) using two different pricing scheme. It is illustrated by simulations results that the IAPR reduced the PAR to a greater degree as compare to SA and SSA.
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Khan, S., Khan, Z.A., Javaid, N., Shuja, S.M., Abdullah, M., Chand, A. (2019). Energy Efficient Scheduling of Smart Home. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_7
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DOI: https://doi.org/10.1007/978-3-030-15035-8_7
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