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A Heuristic Scheduling Approach for Demand Side Energy Management

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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 this paper, we proposed a mechanism for power scheduling problem in Home Energy Management System using two heuristic algorithms Tabu Search (TS) and Enhanced Differential Equation (EDE) with Real time pricing scheme. The aim of this proposed scheduling mechanism is to find an optimal daily load schedule which can achieve a balanced trade-off between electricity cost and user comfort with respect to management of peak hour load. Simulation results show that TS has achieved a lower waiting time than EDE. Whereas, EDE has performed better than TS in reducing cost. Moreover, according to overall results TS performed better in comparison to other as it achieves a balanced trade-off between cost and user comfort and also avoids peak formation.

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Authors and Affiliations

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

    Sikandar Asif, Sundas Shafiq, Iqra Fatima, CH Anwar ul Hassan, Zain Ul Abideen & Nadeem Javaid

Authors
  1. Sikandar Asif
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  2. Sundas Shafiq
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  3. Iqra Fatima
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  4. CH Anwar ul Hassan
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  5. Zain Ul Abideen
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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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© 2018 Springer International Publishing AG

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Asif, S., Shafiq, S., Fatima, I., Anwar ul Hassan, C., Ul Abideen, Z., Javaid, N. (2018). A Heuristic Scheduling Approach for Demand Side Energy Management. 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_91

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_91

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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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