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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...

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Main Authors: Azlee, Zabidi, Mohd Izham, Mohd Jaya, Wan Isni Sofiah, Wan Din, Hasliza, Abu Hassan, Ihsan, Mohd Yassin
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2021
Subjects:
Q Science (General)
QA76 Computer software
T Technology (General)
Online Access: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
http://umpir.ump.edu.my/id/eprint/33474/
https://10.1109/ICSECS52883.2021.00077
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spelling my.ump.umpir.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 https://10.1109/ICSECS52883.2021.00077
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic Q Science (General)
QA76 Computer software
T Technology (General)
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
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.
format Conference or Workshop Item
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
title 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_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_sort non-linear autoregressive with exogenous input (narx) chiller plant prediction model
publisher IEEE
publishDate 2021
url 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
http://umpir.ump.edu.my/id/eprint/33474/
https://10.1109/ICSECS52883.2021.00077
_version_ 1731225779276087296
score 13.211869

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