Application and challenges of big data analytics in low-carbon indoor space design

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Application and challenges of big data analytics in low-carbon indoor space design

The techniques of big data analysis hold immense potential in optimizing indoor energy consumption and enhancing comfort levels. This paper proposes a predictive method for effectively forecasting energy usage in libraries through a multi-step ahead time series-based long short-term memory-backpropa...

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Bibliographic Details
Published in:	INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
Main Authors:	Zeng, Henan; Arif, Mohd Fuad Md
Format:	Article
Language:	English
Published:	OXFORD UNIV PRESS 2025
Subjects:	Thermodynamics; Energy & Fuels
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001416683900001

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