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Energy Management in Residential Area using Genetic and Strawberry Algorithm

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

In our work, we consider the problem of load management in residential area. We adopt Genetic Algorithm (GA) and Strawberry Algorithm (SBA) for load scheduling. These algorithms are used to manage residential load between shoulder, on-peak and off-peak hours. Time of Use (ToU) pricing scheme has been used for bill calculation. Simulation results show that GA based energy optimization controller perform good than SBA based energy optimization controller in term of Peak to Average Ratio (PAR), electricity bill reduction and waiting time.

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Authors and Affiliations

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

    Salma Asif, Khadija Ambreen, Hina Iftikhar, Hasan Nasir Khan, Rubab Maroof & Nadeem Javaid

Authors
  1. Salma Asif
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  2. Khadija Ambreen
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  3. Hina Iftikhar
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  4. Hasan Nasir Khan
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  5. Rubab Maroof
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  6. Nadeem Javaid
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Asif, S., Ambreen, K., Iftikhar, H., Khan, H.N., Maroof, R., Javaid, N. (2018). Energy Management in Residential Area using Genetic and Strawberry Algorithm. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

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