Home Energy Management Using Optimization Techniques

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 772)


In this paper, authors calculate the performance of single home by implementing the hybridization of two techniques, i.e. Elephant Herding Optimization (EHO) and Enhanced Differential Evolution (EDE). Appliances are categorized in three different types on the basis of their usage. For the calculation of electricity bill, Real Time Pricing (RTP) is used. The objective of this paper, is to minimize the cost and Peak to Average Ratio (PAR) and to maximize the user comfort. However, results explain that there is a trade_off between user comfort and cost. Moreover, in this paper, connection between electricity cost and power consumption is verified through solution space. Results explain that proposed technique performs better in terms of PAR and user comfort and EDE performs better in terms of cost.


Smart homes Enhanced differential evolution Elephant herding optimization Real time pricing Meta_heuristic techniques 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Abasyn University Department of Computing and TechnologyIslamabadPakistan
  2. 2.COMSATS Institute of Information TechnologyIslamabadPakistan

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