Physical-Rules-Based Adaptive Neuro-Fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems
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. Tradition...
Saved in:
Main Authors: | Liang Huang, Zaiyi Liao, Lian Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-06-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2012/517826 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Measuring the Inferential Values of Relations in Knowledge Graphs
by: Xu Zhang, et al.
Published: (2024-12-01) -
Inspection of temperature alteration and it’s prediction possibility in Ardebil province using statistical analysis and adaptive neuro -fuzzy inference system
Published: (2016-09-01) -
Implementation of Adaptive Neuro-fuzzy Model to Optimize Operational Process of Multiconfiguration Gas-Turbines
by: Chao Deng, et al.
Published: (2020-01-01) -
Weighted fuzzy C means and enhanced adaptive neuro-fuzzy inference based chronic kidney disease classification
by: Maria Lincy Jacquline, et al.
Published: (2024-03-01) -
Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach
by: E. Golden Julie, et al.
Published: (2016-01-01)