Hourly yield prediction of a double-slope solar still hybrid with rubber scrapers in low-latitude areas based on the particle swarm optimization technique
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DOI: 10.1016/j.apenergy.2017.06.011
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- Firouzi, Afshin & Meshkani, Ali, 2021. "Risk-based optimization of the debt service schedule in renewable energy project finance," Utilities Policy, Elsevier, vol. 70(C).
- Shoeibi, Shahin & Rahbar, Nader & Abedini Esfahlani, Ahad & Kargarsharifabad, Hadi, 2020. "Application of simultaneous thermoelectric cooling and heating to improve the performance of a solar still: An experimental study and exergy analysis," Applied Energy, Elsevier, vol. 263(C).
- Heng, Jiani & Wang, Jianzhou & Xiao, Liye & Lu, Haiyan, 2017. "Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting," Applied Energy, Elsevier, vol. 208(C), pages 845-866.
- Rabhy, Omar O. & Adam, I.G. & Elsayed Youssef, M. & Rashad, A.B. & Hassan, Gasser E., 2019. "Numerical and experimental analyses of a transparent solar distiller for an agricultural greenhouse," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
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Keywords
Double-slope; Yield; Solar still; Rubber scrapers; Particle swarm optimization;All these keywords.
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