INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE

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Bibliographic Details
Main Author:	LEONG WEI YAN
Other Authors:	THE BUILT ENVIRONMENT
Format:	Dissertation
Published:	2022
Subjects:	Building energy energy efficiency autoencoder fault detection energy use
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/227020
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-227020
record_format	dspace
spelling	sg-nus-scholar.10635-2270202024-04-12T03:27:38Z INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE LEONG WEI YAN THE BUILT ENVIRONMENT CLAYTON MILLER CHUN FU Building energy energy efficiency autoencoder fault detection energy use Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2022-06-13T07:12:29Z 2022-06-13T07:12:29Z 2022 Dissertation LEONG WEI YAN (2022). INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/227020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Building energy energy efficiency autoencoder fault detection energy use
spellingShingle	Building energy energy efficiency autoencoder fault detection energy use LEONG WEI YAN INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE
description	Bachelor's
author2	THE BUILT ENVIRONMENT
author_facet	THE BUILT ENVIRONMENT LEONG WEI YAN
format	Dissertation
author	LEONG WEI YAN
author_sort	LEONG WEI YAN
title	INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE
title_short	INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE
title_full	INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE
title_fullStr	INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE
title_full_unstemmed	INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE
title_sort	investigating the autoencoder approach to detect building energy faults through the deviation of real-time energy use from reconstructed baseline
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/227020
_version_	1800915430586449920

INVESTIGATING THE AUTOENCODER APPROACH TO DETECT BUILDING ENERGY FAULTS THROUGH THE DEVIATION OF REAL-TIME ENERGY USE FROM RECONSTRUCTED BASELINE

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