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...
| 出版年: | INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES |
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| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
OXFORD UNIV PRESS
2025
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001416683900001 |