Smart random neural network controller for HVAC using cloud computing technology
- Submitting institution
-
Glasgow Caledonian University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 33315946
- Type
- D - Journal article
- DOI
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10.1109/TII.2016.2597746
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 351
- Volume
- 13
- Issue
- 1
- ISSN
- 1551-3203
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel controller based on Random Neural Networks was tested in Honeywell’s test facilities in Newhouse Glasgow. This work integrates two disparate technologies IoT and cloud for improved building energy management. This work was the result of collaboration between UK TSB, GSS (Gas Sensing Solutions), Stream Technologies Ltd. and Honeywell. It also resulted in a patent (British Patent Application Number: 1313223.8, Title: Smart Energy Management Systems).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -