Applications of slow intelligence frameworks for energy-saving control

Wen Hui Chen; Shi Kuo Chang; Wen Ping Hung

Applications of slow intelligence frameworks for energy-saving control

Wen Hui Chen
, Shi Kuo Chang
, Wen Ping Hung

Graduate Institute of Automation Technology

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

The largest energy consumption, particularly electricity use, for residential users and service industry is attributed to air-conditioning systems. Although novel design can yield energy-efficient air-conditioning systems, there is still room for reducing energy consumption by the control of their operation, especially for those already installed. This study presents a slow intelligence framework for energy-saving control of air-conditioners without affecting users' thermal comfort. The implementation of the proposed approach to a smart space, and the architecture used to integrate the SIS server into the gateway as an embedded system, are also described.

Original language	English
Pages (from-to)	511-515
Number of pages	5
Journal	Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
Volume	2014-January
Issue number	January
State	Published - 2014
Event	26th International Conference on Software Engineering and Knowledge Engineering, SEKE 2014 - Vancouver, Canada Duration: 1 Jul 2014 → 3 Jul 2014

Bibliographical note

Publisher Copyright:
Copyright © 2014 by Knowledge Systems Institute Graduate School.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Embedded systems
Energy saving control
Slow intelligence systems
Wireless sensor networks

Cite this

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title = "Applications of slow intelligence frameworks for energy-saving control",

abstract = "The largest energy consumption, particularly electricity use, for residential users and service industry is attributed to air-conditioning systems. Although novel design can yield energy-efficient air-conditioning systems, there is still room for reducing energy consumption by the control of their operation, especially for those already installed. This study presents a slow intelligence framework for energy-saving control of air-conditioners without affecting users' thermal comfort. The implementation of the proposed approach to a smart space, and the architecture used to integrate the SIS server into the gateway as an embedded system, are also described.",

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AU - Chang, Shi Kuo

AU - Hung, Wen Ping

PY - 2014

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N2 - The largest energy consumption, particularly electricity use, for residential users and service industry is attributed to air-conditioning systems. Although novel design can yield energy-efficient air-conditioning systems, there is still room for reducing energy consumption by the control of their operation, especially for those already installed. This study presents a slow intelligence framework for energy-saving control of air-conditioners without affecting users' thermal comfort. The implementation of the proposed approach to a smart space, and the architecture used to integrate the SIS server into the gateway as an embedded system, are also described.

AB - The largest energy consumption, particularly electricity use, for residential users and service industry is attributed to air-conditioning systems. Although novel design can yield energy-efficient air-conditioning systems, there is still room for reducing energy consumption by the control of their operation, especially for those already installed. This study presents a slow intelligence framework for energy-saving control of air-conditioners without affecting users' thermal comfort. The implementation of the proposed approach to a smart space, and the architecture used to integrate the SIS server into the gateway as an embedded system, are also described.

KW - Embedded systems

KW - Energy saving control

KW - Slow intelligence systems

KW - Wireless sensor networks

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SN - 2325-9000

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EP - 515

JO - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

JF - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

IS - January

T2 - 26th International Conference on Software Engineering and Knowledge Engineering, SEKE 2014

Y2 - 1 July 2014 through 3 July 2014

ER -

Applications of slow intelligence frameworks for energy-saving control

Abstract

Bibliographical note

UN SDGs

Keywords

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Cite this