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...
发表在: | INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES |
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Main Authors: | Zeng, Henan; Arif, Mohd Fuad Md |
格式: | 文件 |
语言: | English |
出版: |
OXFORD UNIV PRESS
2025
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主题: | |
在线阅读: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001416683900001 |
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