Scheduling of air-conditioner using occupancy prediction in a smart home/building environment

Hyung Chul Jo; Jaehee Lee; Sung Kwan Joo

doi:10.1109/ICCE.2014.6776013

Scheduling of air-conditioner using occupancy prediction in a smart home/building environment

Hyung Chul Jo, Jaehee Lee, Sung Kwan Joo

School of Electrical Engineering

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

3 Citations (Scopus)

Abstract

In this paper, a scheduling method of air-conditioner is proposed for reducing the energy purchase cost in a smart home/building. The proposed method is designed to determine the air-conditioning schedule by using occupancy prediction in an energy management system for a smart home/building. A numerical simulation example is presented to illustrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	298-299
Number of pages	2
ISBN (Print)	9781479912919
DOIs	https://doi.org/10.1109/ICCE.2014.6776013
Publication status	Published - 2014
Event	2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States Duration: 2014 Jan 10 → 2014 Jan 13

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)	0747-668X

Other

Other	2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Country/Territory	United States
City	Las Vegas, NV
Period	14/1/10 → 14/1/13

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE.2014.6776013

Cite this

Jo, H. C., Lee, J., & Joo, S. K. (2014). Scheduling of air-conditioner using occupancy prediction in a smart home/building environment. In 2014 IEEE International Conference on Consumer Electronics, ICCE 2014 (pp. 298-299). [6776013] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6776013

Scheduling of air-conditioner using occupancy prediction in a smart home/building environment. / Jo, Hyung Chul; Lee, Jaehee; Joo, Sung Kwan.
2014 IEEE International Conference on Consumer Electronics, ICCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 298-299 6776013 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

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

Jo, HC, Lee, J & Joo, SK 2014, Scheduling of air-conditioner using occupancy prediction in a smart home/building environment. in 2014 IEEE International Conference on Consumer Electronics, ICCE 2014., 6776013, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, Institute of Electrical and Electronics Engineers Inc., pp. 298-299, 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, Las Vegas, NV, United States, 14/1/10. https://doi.org/10.1109/ICCE.2014.6776013

Jo HC, Lee J, Joo SK. Scheduling of air-conditioner using occupancy prediction in a smart home/building environment. In 2014 IEEE International Conference on Consumer Electronics, ICCE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 298-299. 6776013. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE.2014.6776013

Jo, Hyung Chul ; Lee, Jaehee ; Joo, Sung Kwan. / Scheduling of air-conditioner using occupancy prediction in a smart home/building environment. 2014 IEEE International Conference on Consumer Electronics, ICCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 298-299 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

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AB - In this paper, a scheduling method of air-conditioner is proposed for reducing the energy purchase cost in a smart home/building. The proposed method is designed to determine the air-conditioning schedule by using occupancy prediction in an energy management system for a smart home/building. A numerical simulation example is presented to illustrate the effectiveness of the proposed method.

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Scheduling of air-conditioner using occupancy prediction in a smart home/building environment

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ASJC Scopus subject areas

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