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A Survey of Optimization Techniques for Scheduling in Home Energy Management Systems in Smart Grid

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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))

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Abstract

This survey paper is based on comprehensive study of optimization techniques used in smart grid and reviews one of the most popular evolutionary optimization technique i.e., differential evolution (DE) optimization. In addition, different types of DE algorithm currently used in literature are also discussed. These include enhanced DE, modified DE and hybrid DE algorithm. Furthermore, the role of these techniques in solving optimization tasks and scheduling is also discussed.

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Author information

Authors and Affiliations

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

    Fozia Feroze, Asif Khan, Sakeena Javaid, Adnan Ahmed, Muhammad Hassan Rahim & Nadeem Javaid

  2. Mirpur University of Science and Technology, Mirpur Azad Kashmir, Pakistan

    Nabeeha Qayyum

Authors
  1. Fozia Feroze
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  2. Asif Khan
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  3. Nabeeha Qayyum
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  4. Sakeena Javaid
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  5. Adnan Ahmed
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  6. Muhammad Hassan Rahim
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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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Feroze, F. et al. (2018). A Survey of Optimization Techniques for Scheduling in Home Energy Management Systems in Smart Grid. 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_55

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_55

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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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