A User Profile-based Smart Home Energy Management System

Murad Khan; Muhammad Toaha Raza Khan; Malik Muhmmad Saad; Dongkyun Kim

doi:10.1109/ICTC49870.2020.9289081

A User Profile-based Smart Home Energy Management System

Murad Khan
, Muhammad Toaha Raza Khan
, Malik Muhmmad Saad
, Dongkyun Kim

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The future smart home requires a number of sensors and appliances combination to run and improve the lifestyle of home users. However, these appliances and sensors require a high amount of energy to operate. In this research article, a smart home control system is proposed using ZigBee based sensor architecture to automate home appliances based on user profile and take full advantage of the modeling human-appliances interaction. The proposed system is composed of two components: 1) user profile system to control unnecessary energy consumption, and 2) home energy management system which collects data from home appliances and operates them accordingly. The efficient computer simulation is also executed to test the efficiency of the proposed scheme comparing the manual operations of the appliances. The analysis and results reveal that the proposed system is efficient enough to significantly reduce the energy consumption of smart home appliances.

Original language	English
Title of host publication	ICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publication	Data, Network, and AI in the Age of Untact
Publisher	IEEE Computer Society
Pages	646-651
Number of pages	6
ISBN (Electronic)	9781728167589
DOIs	https://doi.org/10.1109/ICTC49870.2020.9289081
State	Published - 21 Oct 2020
Event	11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of Duration: 21 Oct 2020 → 23 Oct 2020

Publication series

Name	International Conference on ICT Convergence
Volume	2020-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/Territory	Korea, Republic of
City	Jeju Island
Period	21/10/20 → 23/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Human Behavior
IoT
Smart Home
ZigBee

Access to Document

10.1109/ICTC49870.2020.9289081

Cite this

Khan, M., Khan, M. T. R., Saad, M. M., & Kim, D. (2020). A User Profile-based Smart Home Energy Management System. In ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact (pp. 646-651). Article 9289081 (International Conference on ICT Convergence; Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/ICTC49870.2020.9289081

@inproceedings{3beeb85df8cc4f07bf8e8290664a338d,

title = "A User Profile-based Smart Home Energy Management System",

abstract = "The future smart home requires a number of sensors and appliances combination to run and improve the lifestyle of home users. However, these appliances and sensors require a high amount of energy to operate. In this research article, a smart home control system is proposed using ZigBee based sensor architecture to automate home appliances based on user profile and take full advantage of the modeling human-appliances interaction. The proposed system is composed of two components: 1) user profile system to control unnecessary energy consumption, and 2) home energy management system which collects data from home appliances and operates them accordingly. The efficient computer simulation is also executed to test the efficiency of the proposed scheme comparing the manual operations of the appliances. The analysis and results reveal that the proposed system is efficient enough to significantly reduce the energy consumption of smart home appliances.",

keywords = "Human Behavior, IoT, Smart Home, ZigBee",

author = "Murad Khan and Khan, \{Muhammad Toaha Raza\} and Saad, \{Malik Muhmmad\} and Dongkyun Kim",

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year = "2020",

month = oct,

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doi = "10.1109/ICTC49870.2020.9289081",

language = "English",

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Khan, M, Khan, MTR, Saad, MM & Kim, D 2020, A User Profile-based Smart Home Energy Management System. in ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact., 9289081, International Conference on ICT Convergence, vol. 2020-October, IEEE Computer Society, pp. 646-651, 11th International Conference on Information and Communication Technology Convergence, ICTC 2020, Jeju Island, Korea, Republic of, 21/10/20. https://doi.org/10.1109/ICTC49870.2020.9289081

A User Profile-based Smart Home Energy Management System. / Khan, Murad; Khan, Muhammad Toaha Raza; Saad, Malik Muhmmad et al.
ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact. IEEE Computer Society, 2020. p. 646-651 9289081 (International Conference on ICT Convergence; Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A User Profile-based Smart Home Energy Management System

AU - Khan, Murad

AU - Khan, Muhammad Toaha Raza

AU - Saad, Malik Muhmmad

AU - Kim, Dongkyun

PY - 2020/10/21

Y1 - 2020/10/21

N2 - The future smart home requires a number of sensors and appliances combination to run and improve the lifestyle of home users. However, these appliances and sensors require a high amount of energy to operate. In this research article, a smart home control system is proposed using ZigBee based sensor architecture to automate home appliances based on user profile and take full advantage of the modeling human-appliances interaction. The proposed system is composed of two components: 1) user profile system to control unnecessary energy consumption, and 2) home energy management system which collects data from home appliances and operates them accordingly. The efficient computer simulation is also executed to test the efficiency of the proposed scheme comparing the manual operations of the appliances. The analysis and results reveal that the proposed system is efficient enough to significantly reduce the energy consumption of smart home appliances.

AB - The future smart home requires a number of sensors and appliances combination to run and improve the lifestyle of home users. However, these appliances and sensors require a high amount of energy to operate. In this research article, a smart home control system is proposed using ZigBee based sensor architecture to automate home appliances based on user profile and take full advantage of the modeling human-appliances interaction. The proposed system is composed of two components: 1) user profile system to control unnecessary energy consumption, and 2) home energy management system which collects data from home appliances and operates them accordingly. The efficient computer simulation is also executed to test the efficiency of the proposed scheme comparing the manual operations of the appliances. The analysis and results reveal that the proposed system is efficient enough to significantly reduce the energy consumption of smart home appliances.

KW - Human Behavior

KW - IoT

KW - Smart Home

KW - ZigBee

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DO - 10.1109/ICTC49870.2020.9289081

M3 - Conference contribution

AN - SCOPUS:85098934234

T3 - International Conference on ICT Convergence

SP - 646

EP - 651

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ER -

A User Profile-based Smart Home Energy Management System

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this