What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification

10.1016/j.enbuild.2019.07.019

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Bibliographic Details
Main Author:	Miller, Clayton
Other Authors:	DEPT OF BUILDING
Published:	Elsevier BV 2019
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/157137
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-157137
record_format	dspace
spelling	sg-nus-scholar.10635-1571372021-10-06T09:53:26Z What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification Miller, Clayton DEPT OF BUILDING 10.1016/j.enbuild.2019.07.019 Energy and Buildings 199 523-536 2019-07-29T01:45:00Z 2019-07-29T01:45:00Z 2019-09 2019-07-28T05:47:06Z Miller, Clayton (2019-09). What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification. Energy and Buildings 199 : 523-536. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enbuild.2019.07.019 0378-7788 https://scholarbank.nus.edu.sg/handle/10635/157137 Elsevier BV Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1016/j.enbuild.2019.07.019
author2	DEPT OF BUILDING
author_facet	DEPT OF BUILDING Miller, Clayton
author	Miller, Clayton
spellingShingle	Miller, Clayton What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
author_sort	Miller, Clayton
title	What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
title_short	What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
title_full	What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
title_fullStr	What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
title_full_unstemmed	What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
title_sort	what's in the box?! towards explainable machine learning applied to non-residential building smart meter classification
publisher	Elsevier BV
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/157137
_version_	1713212680779595776

What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification

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