Home Energy Management Systems (HEMSs) with Optimal Energy Management of Home Appliances Using IoT

Hyung-Chul Jo (), Hyang-A Park, Soon-Young Kwon and Kyeong-Hee Cho
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Hyung-Chul Jo: Energy Platform Research Center, Korea Electrotechnology Research Institute, 27, Dosicheomdansaneop-ro, Nam-gu, Gwangju 61751, Republic of Korea
Hyang-A Park: Energy Platform Research Center, Korea Electrotechnology Research Institute, 27, Dosicheomdansaneop-ro, Nam-gu, Gwangju 61751, Republic of Korea
Soon-Young Kwon: Energy Platform Research Center, Korea Electrotechnology Research Institute, 27, Dosicheomdansaneop-ro, Nam-gu, Gwangju 61751, Republic of Korea
Kyeong-Hee Cho: Energy Platform Research Center, Korea Electrotechnology Research Institute, 27, Dosicheomdansaneop-ro, Nam-gu, Gwangju 61751, Republic of Korea

Energies, 2024, vol. 17, issue 12, 1-15

Abstract: Home appliances connected to Internet-of-Things (IoT) platforms have been extensively installed in smart homes. In this context, home energy management systems (HEMSs) have emerged as a viable solution for reducing energy costs. Although several studies have analyzed the implementation of HEMSs, a majority of these studies were based on the installation of numerous sensors. Owing to the complexity and costs associated with the installation of multiple sensors, implementation of HEMSs in smart homes is challenging. This paper presents an energy management scheme for an HEMS that minimizes the energy cost in a smart home with data obtained from IoT-based appliances typically used in a smart home. Case studies were conducted to demonstrate the effectiveness of the proposed method. Prototype software (version 11) based on the proposed method for a HEMS and a test house with IoT-based appliances were also implemented in the case studies.

Keywords: home energy management; optimal scheduling; home appliance; Internet-of-Things; energy cost saving (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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