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Enhancing chiller plant modelling performance through NARX-based feature optimization

The research focuses on the modelling chiller plants in air cooling systems of large buildings. The existing evaluation of prediction efficiency and identification of efficient components in chiller plants has been limited. The goal of this research is to develop a methodology for modeling chiller p...

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Main Authors: Azlee, Zabidi, Mohd Izham, Mohd Jaya, Hasliza, Abu Hassan, Ihsan, Mohd Yassin
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40326/1/Enhancing%20chiller%20plant%20modelling%20performance.pdf
http://umpir.ump.edu.my/id/eprint/40326/2/Enhancing%20chiller%20plant%20modelling%20performance%20through%20NARX-based%20feature%20optimization_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40326/
https://doi.org/10.1109/ICSECS58457.2023.10256365
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record_format eprints
spelling my.ump.umpir.403262024-04-16T04:07:43Z http://umpir.ump.edu.my/id/eprint/40326/ Enhancing chiller plant modelling performance through NARX-based feature optimization Azlee, Zabidi Mohd Izham, Mohd Jaya Hasliza, Abu Hassan Ihsan, Mohd Yassin QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The research focuses on the modelling chiller plants in air cooling systems of large buildings. The existing evaluation of prediction efficiency and identification of efficient components in chiller plants has been limited. The goal of this research is to develop a methodology for modeling chiller plants by utilizing key parameters from their components. The resulting model accurately simulates the actual chiller plant system and can be used by organizations to predict future events, aiding in preventative maintenance and reducing maintenance costs, especially in critical buildings like hospitals. The research process include compiling the chiller plant's history, simulating the machinery using a regression technique called NARX, selecting crucial parameters using an optimization technique (BPSO), and validating the model. This study enhances our understanding and management capabilities of these important cooling systems by addressing the challenges of efficient modeling and prediction accuracy in chiller plant systems. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40326/1/Enhancing%20chiller%20plant%20modelling%20performance.pdf pdf en http://umpir.ump.edu.my/id/eprint/40326/2/Enhancing%20chiller%20plant%20modelling%20performance%20through%20NARX-based%20feature%20optimization_ABS.pdf Azlee, Zabidi and Mohd Izham, Mohd Jaya and Hasliza, Abu Hassan and Ihsan, Mohd Yassin (2023) Enhancing chiller plant modelling performance through NARX-based feature optimization. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 309-313. (192961). ISBN 979-835031093-1 https://doi.org/10.1109/ICSECS58457.2023.10256365
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Azlee, Zabidi
Mohd Izham, Mohd Jaya
Hasliza, Abu Hassan
Ihsan, Mohd Yassin
Enhancing chiller plant modelling performance through NARX-based feature optimization
description The research focuses on the modelling chiller plants in air cooling systems of large buildings. The existing evaluation of prediction efficiency and identification of efficient components in chiller plants has been limited. The goal of this research is to develop a methodology for modeling chiller plants by utilizing key parameters from their components. The resulting model accurately simulates the actual chiller plant system and can be used by organizations to predict future events, aiding in preventative maintenance and reducing maintenance costs, especially in critical buildings like hospitals. The research process include compiling the chiller plant's history, simulating the machinery using a regression technique called NARX, selecting crucial parameters using an optimization technique (BPSO), and validating the model. This study enhances our understanding and management capabilities of these important cooling systems by addressing the challenges of efficient modeling and prediction accuracy in chiller plant systems.
format Conference or Workshop Item
author Azlee, Zabidi
Mohd Izham, Mohd Jaya
Hasliza, Abu Hassan
Ihsan, Mohd Yassin
author_facet Azlee, Zabidi
Mohd Izham, Mohd Jaya
Hasliza, Abu Hassan
Ihsan, Mohd Yassin
author_sort Azlee, Zabidi
title Enhancing chiller plant modelling performance through NARX-based feature optimization
title_short Enhancing chiller plant modelling performance through NARX-based feature optimization
title_full Enhancing chiller plant modelling performance through NARX-based feature optimization
title_fullStr Enhancing chiller plant modelling performance through NARX-based feature optimization
title_full_unstemmed Enhancing chiller plant modelling performance through NARX-based feature optimization
title_sort enhancing chiller plant modelling performance through narx-based feature optimization
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40326/1/Enhancing%20chiller%20plant%20modelling%20performance.pdf
http://umpir.ump.edu.my/id/eprint/40326/2/Enhancing%20chiller%20plant%20modelling%20performance%20through%20NARX-based%20feature%20optimization_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40326/
https://doi.org/10.1109/ICSECS58457.2023.10256365
_version_ 1822924221470212096
score 13.232424

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