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Efficient Energy Management System Using Firefly and Harmony Search Algorithm

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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, performance of energy management controller (EMC) based on meta-heuristic algorithms: Harmony Search Algorithm (HSA) and Firefly Algorithm (FA) are evaluated. Critical peak pricing (CPP) scheme is implemented to calculate the electricity cost. Appliances are categorized into three groups on the basis of power consumption. Electricity cost minimization and electricity load shifting from peak hours towards off peak hours are the main objectives of the paper. In simulation results, adopted approach reduces the Peak to Average Ratio (PAR) and total electricity cost. Furthermore, HSA shows better results than FA in terms of PAR and electricity cost.

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Author information

Authors and Affiliations

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

    Anwar Ur Rehman, Sheraz Aslam, Zain Ul Abideen, Asma Zahra, Waqar Ali, Muhammad Junaid & Nadeem Javaid

Authors
  1. Anwar Ur Rehman
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  2. Sheraz Aslam
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  3. Zain Ul Abideen
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  4. Asma Zahra
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  5. Waqar Ali
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  6. Muhammad Junaid
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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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Rehman, A.U. et al. (2018). Efficient Energy Management System Using Firefly and Harmony Search Algorithm. 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_4

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_4

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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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