A Bayesian-Optimized LightGBM Approach for Reliable Cooling Load Prediction
With the rapid advancement of information technology, the energy consumption of data centers has become a critical issue. Accurate cooling load prediction is essential for optimizing cooling system operations and improving energy efficiency. However, conventional models often struggle to capture the...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2026-03-01
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| Σειρά: | Buildings |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2075-5309/16/7/1357 |
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