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Towards Efficient Energy Management in a Smart Home Using Updated Population

  • Hafiz Muhammad Faisal
  • Nadeem JavaidEmail author
  • Zahoor Ali Khan
  • Fahad Mussadaq
  • Muhammad Akhtar
  • Raza Abid Abbasi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Smart grid Home energy management system Real time price 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hafiz Muhammad Faisal
    • 1
  • Nadeem Javaid
    • 1
    Email author
  • Zahoor Ali Khan
    • 2
  • Fahad Mussadaq
    • 3
  • Muhammad Akhtar
    • 3
  • Raza Abid Abbasi
    • 3
  1. 1.Comsats University IslamabadIslamabadPakistan
  2. 2.Computer Information ScienceHigher Colleges of TechnologyFujairahUAE
  3. 3.NCBA&EMultanPakistan

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