Machine learning models for performance estimation of solar still in a humid sub-tropical region
Abstract In the current investigation, machine learning models were developed to estimate the performance of a solar still in a humid subtropical climate region. A single-slope passive solar still was designed and constructed to facilitate year-round experiments and data recording. The output variab...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Atmosphere |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44292-025-00028-8 |
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