Energy Management in Residential Area using Genetic and Strawberry Algorithm

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 7)


In our work, we consider the problem of load management in residential area. We adopt Genetic Algorithm (GA) and Strawberry Algorithm (SBA) for load scheduling. These algorithms are used to manage residential load between shoulder, on-peak and off-peak hours. Time of Use (ToU) pricing scheme has been used for bill calculation. Simulation results show that GA based energy optimization controller perform good than SBA based energy optimization controller in term of Peak to Average Ratio (PAR), electricity bill reduction and waiting time.


Load Scheduling Electricity Bill Calculation Shiftable Appliances Maximize User Comfort Minimize Electricity Cost 
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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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