Effective Energy Management in Smart Homes Through DR-Oriented Appliance Scheduling

This paper presents an optimal scheduling model for household appliances in smart homes, focusing on residential demand response (DR) to reduce consumer electricity costs and enhance power system stability. The model integrates considerations of electricity costs, incentives, and consumer inconvenience under time-of-use (TOU) pricing. It explores how the inconvenience weighting factor impacts total costs and analyzes the effect of incentives on optimization outcomes. Simulation results demonstrate the model's efficacy, indicating a potential reduction of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$34.71 \%$</tex> in consumer costs. Additionally, findings suggest that increasing inconvenience raises costs, impacting consumer participation in DR programs. The study also shows that incentives effectively shift loads and lower energy expenses, providing new insights into residential DR applications.