Demonstrates cost-reducing electricity schedule optimization in households, suggesting energy efficiency improvements.
In this paper, we present a low-cost home automation system that can generate an energy-efficient and cost-reducing electricity consumption schedule. The system is comprised of an energy management system running on a raspberry pi 4 called Home Assistant with wireless smart switches connected to the desired home appliances. The communication between all components in the system is configured to be wireless, which means that the control interface for this system is flexible. The proposed optimization method for generating the schedule is based on mixed integer linear programming. The home energy management system is realized on a raspberry pi. The optimization algorithm is implemented using Python and the Gurobi solver package. The optimized scheduling for the home appliances was obtained for different cases of user time preferences and results prove that the proposed method efficiently reduced the total cost of electricity of a typical household.
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Alshehhi et al. (2022) studied this question.
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