Applying support vector machines to predict building energy consumption in tropical region

10.1016/j.enbuild.2004.09.009

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Bibliographic Details
Main Authors: Dong, B., Cao, C., Lee, S.E.
Other Authors: BUILDING
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/113973
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Institution: National University of Singapore
id sg-nus-scholar.10635-113973
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spelling sg-nus-scholar.10635-1139732023-10-31T08:02:03Z Applying support vector machines to predict building energy consumption in tropical region Dong, B. Cao, C. Lee, S.E. BUILDING Building energy consumption prediction Support vector machine Tropical region Weather data 10.1016/j.enbuild.2004.09.009 Energy and Buildings 37 5 545-553 ENEBD 2014-12-01T08:23:17Z 2014-12-01T08:23:17Z 2005-05 Article Dong, B., Cao, C., Lee, S.E. (2005-05). Applying support vector machines to predict building energy consumption in tropical region. Energy and Buildings 37 (5) : 545-553. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enbuild.2004.09.009 03787788 http://scholarbank.nus.edu.sg/handle/10635/113973 000227366000012 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Building energy consumption prediction
Support vector machine
Tropical region
Weather data
spellingShingle Building energy consumption prediction
Support vector machine
Tropical region
Weather data
Dong, B.
Cao, C.
Lee, S.E.
Applying support vector machines to predict building energy consumption in tropical region
description 10.1016/j.enbuild.2004.09.009
author2 BUILDING
author_facet BUILDING
Dong, B.
Cao, C.
Lee, S.E.
format Article
author Dong, B.
Cao, C.
Lee, S.E.
author_sort Dong, B.
title Applying support vector machines to predict building energy consumption in tropical region
title_short Applying support vector machines to predict building energy consumption in tropical region
title_full Applying support vector machines to predict building energy consumption in tropical region
title_fullStr Applying support vector machines to predict building energy consumption in tropical region
title_full_unstemmed Applying support vector machines to predict building energy consumption in tropical region
title_sort applying support vector machines to predict building energy consumption in tropical region
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/113973
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