Estimation of distributed thermal boundary based on fuzzy clustering of temperature observable points

Wan, Shibin; Xu, Peng; Wang, Kun; Li, Shan

doi:10.1016/j.ijheatmasstransfer.2019.118920

Cited by 11 publications

(1 citation statement)

References 28 publications

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“…Among the SH domain solutions already mentioned, some are based on computational intelligence. In order to automatically optimize the temperature and consequently save energy, fuzzy logic was used combined with thermal sensors to adjust the area temperature, and standards were established because of the guidelines recommended by the residents [13]. In [14], fuzzy logic is applied to decrease the energy requirements of a home with regard to several specifications, such as outside temperature, adjusted schedules, battery state-of-charge, and a wide range of prices and preferences for uses of electricity.…”

Section: Related Literaturementioning

confidence: 99%

A Smart Home Architecture for Smart Energy Consumption in a Residence With Multiple Users

et al. 2021

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Smart Energy Control Systems (SECS) has been increasingly implemented in the Smart homes scenario, due to the possibility of conditioning and controlling residential energy consumption, thus contributing to reducing energy losses and unnecessary electrical consumption. With the evolution of embedded systems in conjunction with the Internet of Things (IoT), Smart Outlet (SO), and devices that promote the Users Indoor Identification (UII) environments, they have assumed fundamental roles in the acquisition of data from electrical devices and also in the mapping of the individualized consumption of each resident throughout the day, providing essential information for SECS Systems as a way to assist in energy balance with minimal impact on the daily usability of electrical equipment. However, in most of the works that propose these types of assistance to SECS based on SO and UII, they have a massive implementation of sensors throughout the residence, misinterpretation of the data generated by the residents, difficulty in the identification of multiple residents. Thus, the present work proposes an evolution of an SECS architecture called SmartCom, with the implementation of accurate identification of electrical equipment through Near Field Communication (NFC)-based SO (data transfer between the appliance and the SO) and of multiple inhabitants through Wi-Fi handover using smartphones, with the least possible impact on the user's comfort, as well as in the building structure, achieving a rebalanced residential energy consumption 87.3% of the time it was used.

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Section: Related Literaturementioning

confidence: 99%