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

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 m...

Full description

Saved in:
Bibliographic Details
Published in:Energies (Basel) 2024-06, Vol.17 (12), p.3009
Main Authors: Jo, Hyung-Chul, Park, Hyang-A, Kwon, Soon-Young, Cho, Kyeong-Hee
Format: Article
Language:English
Subjects:
Analysis
Appliances
Case studies
Control algorithms
Costs
Electricity
Energy conservation
energy cost saving
Energy industry
Energy management
Energy management systems
Energy use
Forecasting
home appliance
Home appliances
home energy management
Home environment
Integer programming
Internet of Things
optimal scheduling
Parameter estimation
Refrigerators
Scheduling
Sensors
Smart houses
Software
South Korea
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17123009