Developing an experiment-based strong machine learning model for performance prediction and full analysis of Maisotsenko dewpoint evaporative air cooler
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DOI: 10.1016/j.energy.2024.133179
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- Sadighi Dizaji, Hamed & Hu, Eric Jing & Chen, Lei & Pourhedayat, Samira, 2018. "Development and validation of an analytical model for perforated (multi-stage) regenerative M-cycle air cooler," Applied Energy, Elsevier, vol. 228(C), pages 2176-2194.
- Sulaiman, Mohammed A. & Adham, Ahmed M. & Hasan, Hasan F. & Benim, Ali C. & Anjal, Hassan A., 2024. "Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations," Energy, Elsevier, vol. 289(C).
- Sadighi Dizaji, Hamed & Hu, Eric Jing & Chen, Lei, 2018. "A comprehensive review of the Maisotsenko-cycle based air conditioning systems," Energy, Elsevier, vol. 156(C), pages 725-749.
- Pourhedayat, Samira & Hu, Eric & Chen, Lei, 2022. "Simulation of innovative hybridizing M-cycle cooler and absorption-refrigeration for pre-cooling of gas turbine intake air: Including a case study for Siemens SGT-750 gas turbine," Energy, Elsevier, vol. 247(C).
- Sadighi Dizaji, Hamed & Hu, Eric Jing & Chen, Lei & Pourhedayat, Samira, 2020. "Analytical/experimental sensitivity study of key design and operational parameters of perforated Maisotsenko cooler based on novel wet-surface theory," Applied Energy, Elsevier, vol. 262(C).
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Keywords
Indirect evaporative cooler; Machine learning; Maisotsenko cooler; HVAC;All these keywords.
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