Abstract

In this paper, a scheduler for Home Energy Management (HEM) is proposed using Pigeon Inspired Optimization (PIO) and Enhanced Differential Evolution (EDE). Performance of these two optimization algorithms is evaluated in this study. Performance is determined by the amount of energy consumed by the appliances in on-peak hours and off-peak hours. Time Of Use (TOU) tariff is used for bill calculation of the consumed energy. Evaluation is performed in terms of Peak to Average Ratio (PAR) and electricity cost. Simulation results show that PIO outperforms EDE in terms of cost, PAR reduction and waiting time.

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