Leveraging machine learning techniques and in-situ measurements for precise predicting the energy performance of regenerative counter-flow indirect evaporative cooler in a semi-arid climate building
Auteur(s): |
Ashraf M. Zaki
Mohamed E. Zayed Luai M. Alhems |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Journal of Building Engineering, octobre 2024, v. 95 |
Page(s): | 110318 |
DOI: | 10.1016/j.jobe.2024.110318 |
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10817904 - Publié(e) le:
03.02.2025 - Modifié(e) le:
03.02.2025