Household Electric Load Pattern Consumption Enhanced Simulation by Random Behavior

  • Alabbas Alhaj AliEmail author
  • Doina Logofătu
  • Prachi Agrawal
  • Sreshtha Roy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11431)


The demand for electricity is increasing exponentially and thus, the concern for energy conservation becomes important. The daily consumption of electricity by each family needs to be calculated which in turn would help to estimate the weekly, monthly and yearly electric consumption for a particular unit. The electricity consumed by each family depends upon various factors. The occupancy model of the family needs additionally to be considered. After studying the this model, one can predict at which hours of the day the load consumed is maximum and at which hours of the day it is minimum. Studying the load profiles of each family, the supplier of the electricity can estimate the consumption charge supply policy accordingly. While studying the load profile, we need to take into consideration various appliances and their demand behavior. In this paper, we summarize influential factors of house electrical consumption, the occupancy of the members of the house, and the electrical demand for lighting. It also explains various types of appliances usually employed in a house and their categorization based on behavior and how they contribute to the total load profile of a household.


Electric load pattern Electric demand Software engineering Simulation Random behaviour 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alabbas Alhaj Ali
    • 1
    Email author
  • Doina Logofătu
    • 1
  • Prachi Agrawal
    • 1
  • Sreshtha Roy
    • 1
  1. 1.Department of Computer Science and EngineeringFrankfurt University of Applied SciencesFrankfurtGermany

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