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Hybrid Bacterial Foraging Tabu Search Energy Optimization Technique in Smart Homes

  • Muhammad Usman Khalid
  • Nadeem Javaid
  • Muhammad Nadeem Iqbal
  • Aqib Jamil
  • Naveed Anwar
  • Qazi Muhammad Fazal E. Haq
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 772)

Abstract

With the advent of the smart grid, it has become possible to improve the energy systems. To optimize the energy consumption pattern of the appliances, home energy management system is proposed for smart homes. Energy management in smart homes is a challenging task, therefore, the concept of demand-side management was introduced. For the effective scheduling of smart appliance, we propose a metaheuristic optimization technique. The proposed technique is hybrid of two existing techniques: Tabu Search (TS) and Bacterial Foraging Algorithm (BFA). The aim of the proposed technique is to reduce energy consumption so that user electricity bill reduces. Also, improves user comfort in term of average waiting time. For electricity bill calculation and appliance scheduling, time of use price tariff is used. Simulation results demonstrate that proposed scheme outperformed existing schemes in cost reduction and the average waiting time minimization. However, TS outruns other scheduling schemes in peak to average ratio reduction.

Keywords

Smart grid Demand side management Time of use Tabu Search Bacterial Foraging Algorithm 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Muhammad Usman Khalid
    • 1
  • Nadeem Javaid
    • 1
  • Muhammad Nadeem Iqbal
    • 2
  • Aqib Jamil
    • 1
  • Naveed Anwar
    • 3
  • Qazi Muhammad Fazal E. Haq
    • 2
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.COMSATS Institute of Information TechnologyWah CanttPakistan
  3. 3.University of WahWah CanttPakistan

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