User Satisfaction Based Home Energy Management System for Smart Cities

  • Fozia Feroze
  • Itrat Fatima
  • Saman Zahoor
  • Nabeeha Qayyum
  • Zahoor Ali Khan
  • Umar Qasim
  • Nadeem JavaidEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 612)


With the advent of smart grid and demand side management techniques, users have opportunity to reduce their electricity cost without compromising their comfort much. In this paper, we evaluate the performance of home energy management system based on user satisfaction. Our objective is to maximize the total user satisfaction within user defined budget. For budget three different scenarios are presented that are; $0.25/day, $0.50/day and $1.00/day. To obtain the desired satisfaction three optimization techniques are used: genetic algorithm (GA), enhanced differential evolution (EDE) algorithm, harmony search algorithm (HSA) and their results are compared in terms of achieved satisfaction.


HEM System Enhanced Differential Evolution (EDE) Desire Satisfaction Harmony Search Algorithm (HSA) Demand Side Management Techniques 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Fozia Feroze
    • 1
  • Itrat Fatima
    • 1
  • Saman Zahoor
    • 1
  • Nabeeha Qayyum
    • 2
  • Zahoor Ali Khan
    • 3
  • Umar Qasim
    • 4
  • Nadeem Javaid
    • 1
    Email author
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.Mirpur University of Science and Technology (MUST)Mirpur Azad KashmirPakistan
  3. 3.Computer Information Science, Higher Colleges of TechnologyFujairahUnited Arab Emirates
  4. 4.Cameron LibraryUniversity of AlbertaEdmontonCanada

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