Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/17956
Title: Artificial neural networks in energy applications in buildings
Authors: Kalogirou, Soteris A. 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: Artificial neural networks;Energy prediction;Building applications
Issue Date: Jul-2006
Source: International Journal of Low Carbon Technologies, 2006, vol. 1, no. 3, pp. 201–216
Volume: 1
Issue: 3
Start page: 201
End page: 216
Journal: International Journal of Low Carbon Technologies 
Abstract: Artificial neural networks (ANNs) are nowadays accepted as an alternative technology offering a way to tackle complex and ill-defined problems. They are not programmed in the traditional way but they are trained using past history data representing the behaviour of a system. They have been used in a number of diverse applications. Results presented in this paper are testimony to the potential of artificial neural networks as a design tool in many areas of building services engineering.
URI: https://hdl.handle.net/20.500.14279/17956
ISSN: 17481317
DOI: 10.1093/ijlct/1.3.201
Rights: © Manchester University Press 2006
Type: Article
Affiliation : Higher Technical Institute Cyprus 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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