Physical-Rules-Based Adaptive Neuro-Fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems
Joint Authors
Huang, Liang
Zhao, Lian
Liao, Zaiyi
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Previous research demonstrated that inferential sensors-based control technology can significantly improve the energy efficiency of space heating systems.
However, the performance strongly relies on the accuracy and robustness of the dynamic model upon which the inferential model is built.
Traditional methods, such as simplified physical model, adaptive neurofuzzy inferential sensor- (ANFIS-) based model, were developed and tested in this research.
In attempt to improve both the accuracy and robustness of inferential model, this study aims to investigate how to improve the performance of inferential sensors using physical-rules-based ANFIS in prediction of the hydraulic system temperature in order to adapt the good power needed in the dwellings.
This paper presents the structure of this innovative method.
The performance is tested using experimental data and is compared with that of previous methods using three performance measures: RMSE, RMS, and R2.
The results show that the physical-rule-based ANFIS inferential model is more accurate and robust.
The impact of this improvement on the overall control performance is also discussed.
American Psychological Association (APA)
Huang, Liang& Liao, Zaiyi& Zhao, Lian. 2012. Physical-Rules-Based Adaptive Neuro-Fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-478018
Modern Language Association (MLA)
Huang, Liang…[et al.]. Physical-Rules-Based Adaptive Neuro-Fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-478018
American Medical Association (AMA)
Huang, Liang& Liao, Zaiyi& Zhao, Lian. Physical-Rules-Based Adaptive Neuro-Fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-478018
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478018