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Demand Side Management Using Meta-Heuristic Optimization Techniques

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 12))

Abstract

In this paper, we present a Home Energy Management System (HEMS) using two meta-heuristic optimization techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Bat Algorithm (BA). HEMS will provide different services to end user to manage and control their energy usage with time of use. The proposed model used for load scheduling between peak hour and off-peak hour. In this regard, we perform appliances scheduling to manage the frequent demand from the consumer. The aim of the proposed scheduling is to minimize peak to average ratio and the cost while having some trade-off in user comfort to achieve an optimal management of load. Simulation results show that the BA outperform than BFOA in selected performance parameters.

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Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Sidra Razzaq, Adia Khalid, Zain Ul Abideen, Asma Zahra, Mahnoor Khan & Nadeem Javaid

  2. National University of Sciences and Technology, Islamabad, 44000, Pakistan

    Sughra Razzaq

Authors
  1. Sidra Razzaq
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  2. Adia Khalid
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  3. Sughra Razzaq
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  4. Zain Ul Abideen
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  5. Asma Zahra
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  6. Mahnoor Khan
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  7. Nadeem Javaid
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Open University of Catalonia, Barcelona, Spain

    Jordi Conesa

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Razzaq, S. et al. (2018). Demand Side Management Using Meta-Heuristic Optimization Techniques. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69810-6

  • Online ISBN: 978-3-319-69811-3

  • eBook Packages: EngineeringEngineering (R0)

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