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2014•Unpublished venueRequires access

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

Hyung-Chul Jo, Jaehee Lee, Sung‐Kwan Joo

Open publisher page 5 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available 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.

Key concepts: Air conditioning, Occupancy, Building management system, Computer science, Building automation, Home automation, Scheduling (production processes), Schedule

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