Intelligent Load Forecasting for Central Air Conditioning Using an Optimized Hybrid Deep Learning Framework
Accurate load forecasting of central air conditioning (CAC) systems is crucial for enhancing energy efficiency and minimizing operational costs. However, the complex nonlinear correlations among meteorological factors, water system dynamics, and cooling demand make this task challenging. To address...
Furkejuvvon:
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
MDPI AG
2025-10-01
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| Ráidu: | Energies |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/1996-1073/18/21/5736 |
| Fáddágilkorat: |
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