Output details
15 - General Engineering
London South Bank University
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Article title
Prediction of room temperature and relative humidity by autoregressive linear and nonlinear neural network models for an open office
Type
D - Journal article
Title of journal
Energy and Buildings
Article number
-
Volume number
43
Issue number
6
First page of article
1452
ISSN of journal
03787788
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
This paper demonstrates the improved predictive accuracy of non-linear models. In particular, the effect on relative humidity of changes to heating and cooling system outputs, relationships that are not expected to fit simple linear models. The new models can be used for improving indoor air quality via adaptive control systems.
Interdisciplinary
-
Cross-referral requested
-
Research group
4 - Refrigeration and Air Conditioning
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
