Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model
A chiller plant is a centralized system used for air cooling systems, commonly, for covering a large area of building with various components such as chillers, cooling towers, pumps, and chilled water storage tanks. Each component has several sensors or indicators with status information. Users can...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33474/ http://umpir.ump.edu.my/id/eprint/33474/1/Non-Linear%20Autoregressive%20with%20exogenous%20input%20%28Narx%29_FULL.pdf http://umpir.ump.edu.my/id/eprint/33474/2/Non-Linear%20Autoregressive%20with%20exogenous%20input%20%28Narx%29.pdf |
| _version_ | 1848824264419966976 |
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| author | Azlee, Zabidi Mohd Izham, Mohd Jaya Wan Isni Sofiah, Wan Din Hasliza, Abu Hassan Ihsan, Mohd Yassin |
| author_facet | Azlee, Zabidi Mohd Izham, Mohd Jaya Wan Isni Sofiah, Wan Din Hasliza, Abu Hassan Ihsan, Mohd Yassin |
| author_sort | Azlee, Zabidi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | A chiller plant is a centralized system used for air cooling systems, commonly, for covering a large area of building with various components such as chillers, cooling towers, pumps, and chilled water storage tanks. Each component has several sensors or indicators with status information. Users can use the information to plan for maintenance and as guidance during troubleshot if an event occurs. It is crucial to ensure the chiller plant is operating efficiently without any faulty especially in critical buildings such as a hospital. The main problem of the chiller plant is to conduct preventive maintenance for avoiding the chiller plant failure and breakdown unexpectedly. Based on the literature, approximately 80 components in the chiller plant has found as the possible reason for the chiller plant faulty. In the current research, modeling chiller plants has been done by several researchers, objectively for preventative maintenance purposes. Study case for this project is for a chiller plant at Hospital Raja Permaisuri Bainun, Ipoh, Perak, Malaysia. A model for the proposed chiller plant system is to be designed using System Identification (SI) technique based on Nonlinear Autoregressive with Exogenous Inputs (NARX). Validation result shows, the proposed chiller plant system can be modelled and to be used as One Step Ahead prediction tool with residual Mean Square Error (MSE) of 1.018E-3 for training set and 1.017E-3 for testing set. |
| first_indexed | 2025-11-15T03:10:16Z |
| format | Conference or Workshop Item |
| id | ump-33474 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:10:16Z |
| publishDate | 2021 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-334742022-04-15T06:53:18Z http://umpir.ump.edu.my/id/eprint/33474/ Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model Azlee, Zabidi Mohd Izham, Mohd Jaya Wan Isni Sofiah, Wan Din Hasliza, Abu Hassan Ihsan, Mohd Yassin Q Science (General) QA76 Computer software T Technology (General) A chiller plant is a centralized system used for air cooling systems, commonly, for covering a large area of building with various components such as chillers, cooling towers, pumps, and chilled water storage tanks. Each component has several sensors or indicators with status information. Users can use the information to plan for maintenance and as guidance during troubleshot if an event occurs. It is crucial to ensure the chiller plant is operating efficiently without any faulty especially in critical buildings such as a hospital. The main problem of the chiller plant is to conduct preventive maintenance for avoiding the chiller plant failure and breakdown unexpectedly. Based on the literature, approximately 80 components in the chiller plant has found as the possible reason for the chiller plant faulty. In the current research, modeling chiller plants has been done by several researchers, objectively for preventative maintenance purposes. Study case for this project is for a chiller plant at Hospital Raja Permaisuri Bainun, Ipoh, Perak, Malaysia. A model for the proposed chiller plant system is to be designed using System Identification (SI) technique based on Nonlinear Autoregressive with Exogenous Inputs (NARX). Validation result shows, the proposed chiller plant system can be modelled and to be used as One Step Ahead prediction tool with residual Mean Square Error (MSE) of 1.018E-3 for training set and 1.017E-3 for testing set. IEEE 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33474/1/Non-Linear%20Autoregressive%20with%20exogenous%20input%20%28Narx%29_FULL.pdf pdf en http://umpir.ump.edu.my/id/eprint/33474/2/Non-Linear%20Autoregressive%20with%20exogenous%20input%20%28Narx%29.pdf Azlee, Zabidi and Mohd Izham, Mohd Jaya and Wan Isni Sofiah, Wan Din and Hasliza, Abu Hassan and Ihsan, Mohd Yassin (2021) Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model. In: 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM) , 24-26 August 2021 , Pekan. pp. 1-6.. ISBN 978-1-6654-1407-4 (Published) https://10.1109/ICSECS52883.2021.00077 |
| spellingShingle | Q Science (General) QA76 Computer software T Technology (General) Azlee, Zabidi Mohd Izham, Mohd Jaya Wan Isni Sofiah, Wan Din Hasliza, Abu Hassan Ihsan, Mohd Yassin Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model |
| title | Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model |
| title_full | Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model |
| title_fullStr | Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model |
| title_full_unstemmed | Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model |
| title_short | Non-Linear Autoregressive with exogenous input (Narx) chiller plant prediction model |
| title_sort | non-linear autoregressive with exogenous input (narx) chiller plant prediction model |
| topic | Q Science (General) QA76 Computer software T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/33474/ http://umpir.ump.edu.my/id/eprint/33474/ http://umpir.ump.edu.my/id/eprint/33474/1/Non-Linear%20Autoregressive%20with%20exogenous%20input%20%28Narx%29_FULL.pdf http://umpir.ump.edu.my/id/eprint/33474/2/Non-Linear%20Autoregressive%20with%20exogenous%20input%20%28Narx%29.pdf |