Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis

10.1080/23744731.2022.2067466

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Bibliographic Details
Main Authors:	MILLER, CLAYTON, PICCHETTI, BIANCA, FU, CHUN, PANTELIC, JOVAN
Other Authors:	THE BUILT ENVIRONMENT
Format:	Article
Language:	English
Published:	TAYLOR & FRANCIS INC 2022
Subjects:	Science & Technology Physical Sciences Technology Thermodynamics Construction & Building Technology Engineering, Mechanical Engineering AUTOMATED MEASUREMENT CONSUMPTION VERIFICATION UNCERTAINTY LOAD SAVINGS MODELS METHODOLOGY PERFORMANCE ACCURACY
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/229407
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-229407
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spelling	sg-nus-scholar.10635-2294072023-10-31T20:53:01Z Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis MILLER, CLAYTON PICCHETTI, BIANCA FU, CHUN PANTELIC, JOVAN THE BUILT ENVIRONMENT Science & Technology Physical Sciences Technology Thermodynamics Construction & Building Technology Engineering, Mechanical Engineering AUTOMATED MEASUREMENT CONSUMPTION VERIFICATION UNCERTAINTY LOAD SAVINGS MODELS METHODOLOGY PERFORMANCE ACCURACY 10.1080/23744731.2022.2067466 SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT 28 5 10.1080/23744731.2022.2067466 610-627 2022-07-29T04:46:49Z 2022-07-29T04:46:49Z 2022-05-03 2022-07-19T00:31:40Z Article MILLER, CLAYTON, PICCHETTI, BIANCA, FU, CHUN, PANTELIC, JOVAN (2022-05-03). Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT 28 (5) : 10.1080/23744731.2022.2067466. ScholarBank@NUS Repository. https://doi.org/10.1080/23744731.2022.2067466 23744731 2374474X https://scholarbank.nus.edu.sg/handle/10635/229407 en TAYLOR & FRANCIS INC 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 Physical Sciences Technology Thermodynamics Construction & Building Technology Engineering, Mechanical Engineering AUTOMATED MEASUREMENT CONSUMPTION VERIFICATION UNCERTAINTY LOAD SAVINGS MODELS METHODOLOGY PERFORMANCE ACCURACY
spellingShingle	Science & Technology Physical Sciences Technology Thermodynamics Construction & Building Technology Engineering, Mechanical Engineering AUTOMATED MEASUREMENT CONSUMPTION VERIFICATION UNCERTAINTY LOAD SAVINGS MODELS METHODOLOGY PERFORMANCE ACCURACY MILLER, CLAYTON PICCHETTI, BIANCA FU, CHUN PANTELIC, JOVAN Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
description	10.1080/23744731.2022.2067466
author2	THE BUILT ENVIRONMENT
author_facet	THE BUILT ENVIRONMENT MILLER, CLAYTON PICCHETTI, BIANCA FU, CHUN PANTELIC, JOVAN
format	Article
author	MILLER, CLAYTON PICCHETTI, BIANCA FU, CHUN PANTELIC, JOVAN
author_sort	MILLER, CLAYTON
title	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
title_short	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
title_full	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
title_fullStr	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
title_full_unstemmed	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
title_sort	limitations of machine learning for building energy prediction: ashrae great energy predictor iii kaggle competition error analysis
publisher	TAYLOR & FRANCIS INC
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/229407
_version_	1781793173631139840

Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis

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