Explainable artificial intelligence for energy efficiency in experimental refrigeration Systems: Advanced cutting-edge sunflower optimization
This study applies a cutting-edge artificial intelligence model to an experimental refrigeration system operating with R290, R1234yf, R404A, and R134A refrigerants. In the first part of the study, a comparison was made on indicators such as COP, cooling capacity and compressor power consumption. The...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X2500841X |
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