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International Conference on Advanced Information Networking and Applications

AINA 2019: Advanced Information Networking and Applications pp 39–52Cite as

Towards Efficient Energy Management in a Smart Home Using Updated Population

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

Abstract

Energy management using demand side management (DSM) techniques plays a key role in smart grid (SG) domain. Smart meters and energy management controllers are the important components of the SG. A lot of research has been done on energy management system (EMS) for scheduling the appliances. The aim of current research is to organize the power of the residential units in an optimized way. Intelligent energy optimization techniques play a vital role in reduction of the electricity bill via scheduling home appliances. Through appliance’s scheduling, consumer gets feasible cost in response to the consumed electricity. The utility provides the facility for consumers to schedule their appliances for the reduction of electricity bill and peak demand reduction. The utility company is allowed to remotely shut down their appliances in emergency conditions through direct load control programs. A lot of research has been done on energy management system (EMS) for scheduling the appliances. In this work, an efficient EMS is proposed for controlling the load in residential units. Meta-heuristic algorithms have been used for the optimization of the user energy consumption schedules in an efficient way. Our proposed scheme is used to minimize the user waiting time. User waiting time is inversely proportional to the total cost and peak to average ratio (PAR). Simulation result shows the minimum user waiting time, however, the total cost is compromised due to the high demand of the load. In the end, our proposed scheme will be validated through simulations.

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Author information

Authors and Affiliations

  1. Comsats University Islamabad, Islamabad, 44000, Pakistan

    Hafiz Muhammad Faisal & Nadeem Javaid

  2. Computer Information Science, Higher Colleges of Technology, Fujairah, 4114, UAE

    Zahoor Ali Khan

  3. NCBA&E, Multan, Pakistan

    Fahad Mussadaq, Muhammad Akhtar & Raza Abid Abbasi

Authors
  1. Hafiz Muhammad Faisal
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  2. Nadeem Javaid
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  3. Zahoor Ali Khan
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  4. Fahad Mussadaq
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  5. Muhammad Akhtar
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  6. Raza Abid Abbasi
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Faisal, H.M., Javaid, N., Khan, Z.A., Mussadaq, F., Akhtar, M., Abbasi, R.A. (2020). Towards Efficient Energy Management in a Smart Home Using Updated Population. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_4

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