Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors

Hsieh Chih Hsu; Chen Yu Pan

doi:10.1109/ICASI57738.2023.10179512

Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors

Hsieh Chih Hsu, Chen Yu Pan

建築學系

研究成果: Conference contribution

摘要

Indoor air quality reduces pollutants through different ventilation methods. Using different ventilation strategies is the focus of most scholars with limited resources. Therefore, we use outdoor environmental factors to data-driven control mechanical ventilation facilities.This proposed framework also optimizes the deep learning model (LSTM) through clustering analysis, and through cross-validation, the accuracy of the model is 97.45%. At the same time, this model can reduce energy consumption by 53%.

原文	English
主出版物標題	2023 9th International Conference on Applied System Innovation, ICASI 2023
編輯	Shoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Stephen D. Prior
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	80-82
頁數	3
ISBN（電子）	9798350398380
DOIs	https://doi.org/10.1109/ICASI57738.2023.10179512
出版狀態	Published - 2023
事件	9th International Conference on Applied System Innovation, ICASI 2023 - Chiba, Japan 持續時間: 2023 4月 21 → 2023 4月 25

出版系列

名字	2023 9th International Conference on Applied System Innovation, ICASI 2023

Conference

Conference	9th International Conference on Applied System Innovation, ICASI 2023
國家/地區	Japan
城市	Chiba
期間	23-04-21 → 23-04-25

All Science Journal Classification (ASJC) codes

人工智慧
電腦科學應用
硬體和架構
資訊系統
資訊系統與管理
電氣與電子工程
機械工業
電子、光磁材料

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1109/ICASI57738.2023.10179512

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引用此

Hsu, H. C., & Pan, C. Y. (2023). Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors. 於 S.-J. Chang, S.-J. Young, A. D. K.-T. Lam, L.-W. Ji, & S. D. Prior (編輯), 2023 9th International Conference on Applied System Innovation, ICASI 2023 (頁 80-82). (2023 9th International Conference on Applied System Innovation, ICASI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASI57738.2023.10179512

Hsu, Hsieh Chih ; Pan, Chen Yu. / Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors. 2023 9th International Conference on Applied System Innovation, ICASI 2023. 編輯 / Shoou-Jinn Chang ; Sheng-Joue Young ; Artde Donald Kin-Tak Lam ; Liang-Wen Ji ; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2023. 頁 80-82 (2023 9th International Conference on Applied System Innovation, ICASI 2023).

@inproceedings{d7bd9fa469b043009d59f5fdc6356cb6,

title = "Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors",

abstract = "Indoor air quality reduces pollutants through different ventilation methods. Using different ventilation strategies is the focus of most scholars with limited resources. Therefore, we use outdoor environmental factors to data-driven control mechanical ventilation facilities.This proposed framework also optimizes the deep learning model (LSTM) through clustering analysis, and through cross-validation, the accuracy of the model is 97.45%. At the same time, this model can reduce energy consumption by 53%.",

author = "Hsu, {Hsieh Chih} and Pan, {Chen Yu}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th International Conference on Applied System Innovation, ICASI 2023 ; Conference date: 21-04-2023 Through 25-04-2023",

year = "2023",

doi = "10.1109/ICASI57738.2023.10179512",

language = "English",

series = "2023 9th International Conference on Applied System Innovation, ICASI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "80--82",

editor = "Shoou-Jinn Chang and Sheng-Joue Young and Lam, {Artde Donald Kin-Tak} and Liang-Wen Ji and Prior, {Stephen D.}",

booktitle = "2023 9th International Conference on Applied System Innovation, ICASI 2023",

address = "United States",

}

Hsu, HC & Pan, CY 2023, Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors. 於 S-J Chang, S-J Young, ADK-T Lam, L-W Ji & SD Prior (編輯), 2023 9th International Conference on Applied System Innovation, ICASI 2023. 2023 9th International Conference on Applied System Innovation, ICASI 2023, Institute of Electrical and Electronics Engineers Inc., 頁 80-82, 9th International Conference on Applied System Innovation, ICASI 2023, Chiba, Japan, 23-04-21. https://doi.org/10.1109/ICASI57738.2023.10179512

Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors. / Hsu, Hsieh Chih; Pan, Chen Yu.
2023 9th International Conference on Applied System Innovation, ICASI 2023. 編輯 / Shoou-Jinn Chang; Sheng-Joue Young; Artde Donald Kin-Tak Lam; Liang-Wen Ji; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2023. p. 80-82 (2023 9th International Conference on Applied System Innovation, ICASI 2023).

研究成果: Conference contribution

TY - GEN

T1 - Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors

AU - Hsu, Hsieh Chih

AU - Pan, Chen Yu

PY - 2023

Y1 - 2023

N2 - Indoor air quality reduces pollutants through different ventilation methods. Using different ventilation strategies is the focus of most scholars with limited resources. Therefore, we use outdoor environmental factors to data-driven control mechanical ventilation facilities.This proposed framework also optimizes the deep learning model (LSTM) through clustering analysis, and through cross-validation, the accuracy of the model is 97.45%. At the same time, this model can reduce energy consumption by 53%.

AB - Indoor air quality reduces pollutants through different ventilation methods. Using different ventilation strategies is the focus of most scholars with limited resources. Therefore, we use outdoor environmental factors to data-driven control mechanical ventilation facilities.This proposed framework also optimizes the deep learning model (LSTM) through clustering analysis, and through cross-validation, the accuracy of the model is 97.45%. At the same time, this model can reduce energy consumption by 53%.

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UR - http://www.scopus.com/inward/citedby.url?scp=85167364030&partnerID=8YFLogxK

U2 - 10.1109/ICASI57738.2023.10179512

DO - 10.1109/ICASI57738.2023.10179512

M3 - Conference contribution

AN - SCOPUS:85167364030

T3 - 2023 9th International Conference on Applied System Innovation, ICASI 2023

SP - 80

EP - 82

BT - 2023 9th International Conference on Applied System Innovation, ICASI 2023

A2 - Chang, Shoou-Jinn

A2 - Young, Sheng-Joue

A2 - Lam, Artde Donald Kin-Tak

A2 - Ji, Liang-Wen

A2 - Prior, Stephen D.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Applied System Innovation, ICASI 2023

Y2 - 21 April 2023 through 25 April 2023

ER -

Hsu HC, Pan CY. Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors. 於 Chang SJ, Young SJ, Lam ADKT, Ji LW, Prior SD, 編輯, 2023 9th International Conference on Applied System Innovation, ICASI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 80-82. (2023 9th International Conference on Applied System Innovation, ICASI 2023). doi: 10.1109/ICASI57738.2023.10179512

Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors

摘要

出版系列

Conference

All Science Journal Classification (ASJC) codes

UN SDG

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