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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書目詳細資料
發表在:INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
Main Authors: Zeng, Henan; Arif, Mohd Fuad Md
格式: Article
語言:English
出版: OXFORD UNIV PRESS 2025
主題:
在線閱讀:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001416683900001

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