2021
DOI: 10.1002/2050-7038.12986
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Optimal planning and scheduling of smart homes' energy hubs

Abstract: This article presents a mathematical model for optimal planning and scheduling of smart homes' energy hubs (SHEHs). The electricity demand of the SHEH model is formulated and categorized into four different loads: lighting loads, delay intolerant loads (DILs), delay tolerant loads (DTLs), and other electrical loads (OELs). The SHEH also includes heat, cooling, and water demands. Lighting demand includes sunlight that illuminates the house during the day and the required electricity power for illuminating the h… Show more

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Cited by 19 publications
(9 citation statements)
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References 29 publications
(61 reference statements)
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“…Pazouki et al 25 Smart home energy hubs. Mathematical approach for optimizing the planning and scheduling of energy hubs in smart homes.…”
Section: Research Work Application Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Pazouki et al 25 Smart home energy hubs. Mathematical approach for optimizing the planning and scheduling of energy hubs in smart homes.…”
Section: Research Work Application Methodsmentioning
confidence: 99%
“…It is appropriate to include some crucial functionality and features when it comes to energy efficiency coverage and analytics support. 23,24 Pazouki et al 25 established a mathematical approach for optimizing the planning and scheduling of energy hubs in smart homes. The smart home energy hub (SHEH) model's electricity demand is divided into four categories: lighting loads, delay intolerant loads (DILs), delay tolerant loads (DTLs), and other electrical loads (OELs).…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, the incorporation of time-varying parameters in the analysis is paramount for capturing the intricate nature of real-world systems, where parameters may not remain constant over time [ [40] , [41] , [42] ]. In many practical applications, parameters are subject to variations, uncertainties, or external disturbances [ [43] , [44] , [45] ]. Hence, incorporating time-varying parameters in the stability analysis enriches the understanding of the system's behavior under diverse scenarios, enhancing its practical relevance [ [46] , [47] , [48] , [49] , [50] ].…”
Section: Introductionmentioning
confidence: 99%
“…In the meantime, with the development of renewable energy technologies, rooftop photovoltaic and distributed electric vehicles are also widely involved in home energy management [1][2][3]. Therefore, the household microgrid will be established by household appliances, rooftop photovoltaic, distributed electric vehicles, and battery energy storage devices [4][5][6]. The constructed household microgrid can dispatch the residential electricity flexibly, provide demand-side response capability, and, finally, improve the economic performance of the microgrid operational management.…”
Section: Introductionmentioning
confidence: 99%