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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| 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 |
| _version_ | 1796996228043505664 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-04-22T01:25:49Z |
| format | Conference or Workshop Item |
| id | UMPir40326 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-04-22T01:25:49Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir403262024-04-16T04:07:43Z 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 |
| 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 |
| title | 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_short | Enhancing chiller plant modelling performance through NARX-based feature optimization |
| title_sort | enhancing chiller plant modelling performance through narx based feature optimization |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| 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 |
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