Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An ANN-GA semantic rule-based system to reduce the gap between predicted and actual energy consumption in buildings

Yuce, Baris and Rezgui, Yacine 2015. An ANN-GA semantic rule-based system to reduce the gap between predicted and actual energy consumption in buildings. IEEE Transactions on Automation Science and Engineering , pp. 1-13. 10.1109/TASE.2015.2490141

[img]
Preview
PDF - Published Version
Download (2MB) | Preview
Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1545-5955
Funders: European Commission
Last Modified: 30 Oct 2017 12:06
URI: http://orca-mwe.cf.ac.uk/id/eprint/80531

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Full Text Downloads from ORCA for this publication

Top Downloads of this item by Country

Monthly Full Text Downloads of this item

More statistics for this item...