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• W4308476425 abstract "Smart grids (SG) allow users to plan and control device usage patterns optimally, thereby minimizing power costs, peak-to-average ratios (PAR), and peak load demands. The present study develops a typical framework of a home energy management system (HEMS) for SG scenarios using newly limited and multi-limited planning approaches for domestic users. Time-of-use pricing (TOUP) is used to develop, handle, and manage the optimization problem properly. As a capable method for optimizing the proposed problem, this paper uses a robust meta-heuristic algorithm named wind-driven optimization algorithm (WDOA) and compares it to the other optimization algorithms in order to demonstrate its efficiency. In addition, it integrates a rooftop photovoltaic (PV) system with the system in order to show that all devices are cost-effective if managed properly. Eight diverse case studies are analyzed using a variety of time planning algorithms. The simulation results advocate for the quality and high performance of the proposed model by minimizing the total cost and managing energy consumption economically." @default.
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• W4308476425 date "2022-11-05" @default.
• W4308476425 modified "2023-10-18" @default.
• W4308476425 title "A Novel Time-of-Use Pricing Based Energy Management System for Smart Home Appliances: Cost-Effective Method" @default.
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• W4308476425 doi "https://doi.org/10.3390/su142114556" @default.
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