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A New Memory Updation Heuristic Scheme for Energy Management System in Smart Grid

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Advanced Information Networking and Applications (AINA 2019)

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

Abstract

In the last decade, high energy demand is observed due to increase in population. Due to high demand of energy, numerous challenges in the existing power systems are raised i.e., robustness, stability and sustainability. This work is focused for the residential sector Energy Management System (EMS), especially for the smart homes. An EMS is proposed which shifts the electricity load from high price to low price hours. To fulfill the high load demand of electricity consumers, we have proposed a new Memory Updation Heuristic Scheme (MUHS), which efficiently schedule the appliance from on peak to off peak hours. The objective of our new scheme MUHS is to automate the EMS. The significance of our new proposed MUHS scheme shown the efficiency by reducing Cost, Peak to Average Ratio (PAR) and increase User Comfort (UC) by balancing the load demand in peak times.

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Author information

Authors and Affiliations

  1. COMSATS University, Islamabad, 44000, Pakistan

    Waleed Ahmad, Nadeem Javaid, Sajjad Khan, Muhammad Amir & Raza Abid Abbasi

  2. COMSATS University Islamabad, Abbotabad Campus, Abbotabad, Pakistan

    Maria Zuraiz

  3. National University of Science and Technology, Islamabad, Pakistan

    Tayyab Awan

Authors
  1. Waleed Ahmad
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  2. Nadeem Javaid
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  3. Sajjad Khan
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  4. Maria Zuraiz
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  5. Tayyab Awan
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  6. Muhammad Amir
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  7. 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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Ahmad, W. et al. (2020). A New Memory Updation Heuristic Scheme for Energy Management System in Smart Grid. 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_5

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