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Home Energy Managment System Using Meta-heuristic Techniques

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Book cover 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 this paper, we have evaluated the performance of Home Energy Management (HEM) using two meta-heuristic techniques: Chicken Swarm Optimization (CSO) and Bacterial Foraging Algorithm (BFA). We have classified the appliances in two catagories: fixed and shiftable/elastic appliances. Time of Use (ToU) pricing scheme is used for the calculation of electricity bill. The main objective of this paper is the minimization of electricity cost, reduction of Peak to Average (PAR) and balancing of load between peak and off peak hours while taking User Comfort (UC) under consideration. These algrithms performs efficiently in achieving multiple objectives. However results and simulations shows that CSO performs better than BFA in terms of PAR reduction, while BFA performs better in reducing electrcity cost.

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Authors and Affiliations

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

    Tamour Bilal, Muhammad Awais, Muhammad Junaid, Zafar Faiz, Mujeeb Ur Rehman & Nadeem Javaid

Authors
  1. Tamour Bilal
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  2. Muhammad Awais
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  3. Muhammad Junaid
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  4. Zafar Faiz
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  5. Mujeeb Ur Rehman
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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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Bilal, T., Awais, M., Junaid, M., Faiz, Z., Rehman, M.U., Javaid, N. (2018). Home Energy Managment System Using Meta-heuristic Techniques. 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_75

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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