Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset

10.1016/j.apenergy.2018.12.025

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Main Authors:	Park, June Young, Yang, Xiya, Miller, Clayton, Arjunan, Pandarasamy, Nagy, Zoltan
Other Authors:	THE BUILT ENVIRONMENT
Format:	Article
Language:	English
Published:	ELSEVIER SCI LTD 2022
Subjects:	Science & Technology Technology Energy & Fuels Engineering, Chemical Engineering Building energy Load profile Energy benchmarking Unsupervised learning Data analytic Visual analytic ENERGY BENCHMARKING CLASSIFICATION CONSUMPTION EFFICIENCY MODEL
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/229435
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-229435
record_format	dspace
spelling	sg-nus-scholar.10635-2294352023-10-31T09:07:49Z Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset Park, June Young Yang, Xiya Miller, Clayton Arjunan, Pandarasamy Nagy, Zoltan THE BUILT ENVIRONMENT Science & Technology Technology Energy & Fuels Engineering, Chemical Engineering Building energy Load profile Energy benchmarking Unsupervised learning Data analytic Visual analytic ENERGY BENCHMARKING CLASSIFICATION CONSUMPTION EFFICIENCY MODEL 10.1016/j.apenergy.2018.12.025 APPLIED ENERGY 236 1280-1295 2022-07-29T06:58:53Z 2022-07-29T06:58:53Z 2019-02-15 2022-07-19T02:21:17Z Article Park, June Young, Yang, Xiya, Miller, Clayton, Arjunan, Pandarasamy, Nagy, Zoltan (2019-02-15). Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset. APPLIED ENERGY 236 : 1280-1295. ScholarBank@NUS Repository. https://doi.org/10.1016/j.apenergy.2018.12.025 03062619 18729118 https://scholarbank.nus.edu.sg/handle/10635/229435 en ELSEVIER SCI LTD Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Energy & Fuels Engineering, Chemical Engineering Building energy Load profile Energy benchmarking Unsupervised learning Data analytic Visual analytic ENERGY BENCHMARKING CLASSIFICATION CONSUMPTION EFFICIENCY MODEL
spellingShingle	Science & Technology Technology Energy & Fuels Engineering, Chemical Engineering Building energy Load profile Energy benchmarking Unsupervised learning Data analytic Visual analytic ENERGY BENCHMARKING CLASSIFICATION CONSUMPTION EFFICIENCY MODEL Park, June Young Yang, Xiya Miller, Clayton Arjunan, Pandarasamy Nagy, Zoltan Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
description	10.1016/j.apenergy.2018.12.025
author2	THE BUILT ENVIRONMENT
author_facet	THE BUILT ENVIRONMENT Park, June Young Yang, Xiya Miller, Clayton Arjunan, Pandarasamy Nagy, Zoltan
format	Article
author	Park, June Young Yang, Xiya Miller, Clayton Arjunan, Pandarasamy Nagy, Zoltan
author_sort	Park, June Young
title	Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
title_short	Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
title_full	Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
title_fullStr	Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
title_full_unstemmed	Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
title_sort	apples or oranges? identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
publisher	ELSEVIER SCI LTD
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/229435
_version_	1781793175551082496

Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset

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