Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives
The increasing availability of building operational data has greatly encouraged the development of advanced data-driven technologies for smart building operations. Building operational data typically suffer from data quality problems, such as insufficient labeled and imbalanced data, making them inc...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Press
2024-02-01
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| Series: | National Science Open |
| Subjects: | |
| Online Access: | https://www.sciengine.com/doi/10.1360/nso/20230068 |
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