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

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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Bibliographic Details
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

Description
Summary:	10.1016/j.apenergy.2018.12.025