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 Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2025
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217788406&doi=10.1093%2fijlct%2fctaf005&partnerID=40&md5=e6d5718c937a1025d5aa313203be7e1d |