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...
| Published in: | INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
OXFORD UNIV PRESS
2025
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001416683900001 |