Intelligent Home Heating Controller Using Fuzzy Rule Interpolation

Intelligent Home Heating Controller Using Fuzzy Rule Interpolation

Abstract

The reduction of domestic energy waste helps in achieving the legal binding target in the UK that CO2 emissions needs to be reduced by at least 34% below base year (1990) levels by 2020. Space heating consumes about 60% of the household energy consumption, and it has been reported by the Household Electricity Survey from GOV.UK, that 23% of residents leave the heating on while going out. To minimise the waste of heating unoccupied homes, a number of sensor-based and programmable controllers for central heating system have been developed, which can successfully switch off the home heating systems when a property is unoccupied. However, these systems cannot automatically preheat the homes before occupants return without manual inputs or leaving the heating on unnecessarily for longer time, which has limited the wide application of such devices. In order to address this limitation, this paper proposes a smart home heating controller, which enables a home heating system to efficiently preheat the home by successfully predicting the users?? home time. In particular, residents?? home time is calculated by employing fuzzy rule interpolation, supported by users?? historic and current location data from portable devices (commonly smart mobile phones). The proposed system has been applied to a real-world case with promising results shown.

Publication

Jie Li, Longzhi Yang, Hubert P. H. Shum, Graham Sexton and Yao Tan,
"Intelligent Home Heating Controller Using Fuzzy Rule Interpolation",
Proceedings of the 2015 UK Workshop on Computational Intelligence (UKCI)

Citation=11##

## Citation count from Google Scholar as of 2018

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References

BibTeX

@inproceedings{lie15intelligent,
 author={Li, Jie and Yang, Longzhi and Shum, Hubert P. H. and Sexton, Graham and Tan, Yao},
 booktitle={Proceedings of the 2015 UK Workshop on Computational Intelligence},
 title={Intelligent Home Heating Controller Using Fuzzy Rule Interpolation},
 year={2015},
 numpages={8},
 location={Exeter, UK},
}

EndNote/RefMan

TY  - CONF
AU  - Li, Jie
AU  - Yang, Longzhi
AU  - Shum, Hubert P. H.
AU  - Sexton, Graham
AU  - Tan, Yao
T2  - Proceedings of the 2015 UK Workshop on Computational Intelligence
TI  - Intelligent Home Heating Controller Using Fuzzy Rule Interpolation
PY  - 2015
ER  - 

Plain Text

Jie Li, Longzhi Yang, Hubert P. H. Shum, Graham Sexton and Yao Tan, "Intelligent Home Heating Controller Using Fuzzy Rule Interpolation," in Proceedings of the 2015 UK Workshop on Computational Intelligence, Exeter, UK, 2015.

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Last update: 14/01/2019