Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis

Dey, M., Gupta, M., Turkey, M., and Dudley-McEvoy, S. (2017). Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis. Paper presented at IEEE International Conference on Smart City Innovations, Fremont, California, USA, 04 August 2017 - 08 August 2017. London South Bank University.


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Keywords: Heating, Ventilation and Air-Conditioning (HVAC), Building Energy Management System (BEMS), Feature Extraction, X-means Clustering, Fault Detection and Diagnosis (FDD), Terminal Unit (TU)
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > Engineering > Electrical and Electronics
Date Deposited: 02 Nov 2017 16:03
Dey, M
Gupta, M
Turkey, M
Dudley-McEvoy, S0000-0002-6431-5357
Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators: Dey, M and Gupta, M and Turkey, M and Dudley-McEvoy, S
Depositing User: LSBU Open Access Team
Last Modified: 22 Feb 2018 10:29
Item ID: 1340


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