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International Journal of Green Energy Volume 13, 2016 - Issue 10
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Original Articles

Comparison of ANN, MVR, and SWR models for computing thermal efficiency of a solar still

Ahmed F. MashalyAlamoudi Chair for Water Researches, King Saud University, Riyadh, Saudi ArabiaCorrespondence[email protected]
&
A. A. AlazbaAlamoudi Chair for Water Researches, King Saud University, Riyadh, Saudi Arabia;Agricultural Engineering Department, King Saud University, Riyadh, Saudi Arabia
Pages 1016-1025 | Published online: 06 Jul 2016

Citations (17)

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Read on this site (2)

Osman Haitham, Madiouli Jamel & Shigidi Ihab. (2021) Statistical analysis and mathematical modeling of modified single slope solar still. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43:21, pages 2788-2806.
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Wei Wang, Ming Li, Reda Hassanien Emam Hassanien, Meng en Ji & Zhikang Feng. (2017) Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model. International Journal of Green Energy 14:10, pages 819-830.
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Articles from other publishers (15)

A. Saravanan, Satyajeet Parida, M. Murugan, M. Sreenivasa Reddy, P.V. Elumalai & Santosh Kumar Dash. (2023) Thermal performance prediction of a solar air heater with a C-shape finned absorber plate using RF, LR and KNN models of Machine learning. Thermal Science and Engineering Progress 38, pages 101630.
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R. Immanual, K. Kannan, B. Chokkalingam, B. Priyadharshini, J. Sathya, S. Sudharsan & E. Raghu Nath. (2023) Performance Prediction of solar still using Artificial neural network. Materials Today: Proceedings 72, pages 430-440.
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Pooria Behnam, Meysam Faegh & Mehdi Khiadani. (2022) A review on state-of-the-art applications of data-driven methods in desalination systems. Desalination 532, pages 115744.
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Chengru Wu, Yang Wang, Kangcheng Wu, Haipeng Zhai, Zhengwei Gong, Zhijun Peng, Shaohui Jin, Qing Du & Kui Jiao. (2022) Sintering kinetics and microstructure analysis of composite mixed ionic and electronic conducting electrodes. International Journal of Energy Research 46:6, pages 8240-8255.
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Rishika Chauhan, Pankaj Dumka & Dhananjay R. Mishra. (2022) Experimental Evaluation and Development of Artificial Neural Network Model for the Solar Stills Augmented with the Permanent Magnet and Sandbag. Journal of Advanced Thermal Science Research 9, pages 9-23.
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Hanaa Salem, A.E. Kabeel, Emad M.S. El-Said & Omar M. Elzeki. (2022) Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization. Desalination 522, pages 115411.
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Hatice Citakoglu, Bilal Babayigit & Nese Acanal Haktanir. (2020) Solar radiation prediction using multi-gene genetic programming approach. Theoretical and Applied Climatology 142:3-4, pages 885-897.
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Kamil Neyfel ÇERÇİ, Doğan Burak SAYDAM & Ertaç HÜRDOĞAN. (2020) Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models. European Mechanical Science 4:3, pages 123-130.
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Kamil Neyfel Çerçi & Mehmet Daş. (2019) Modeling of Heat Transfer Coefficient in Solar Greenhouse Type Drying Systems. Sustainability 11:18, pages 5127.
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Ahmed F. Mashaly & A. A. Alazba. (2019) Comparison of adaptive neuro-fuzzy inference system and multiple nonlinear regression for the productivity prediction of inclined passive solar still. Journal of Water Supply: Research and Technology-Aqua 68:2, pages 98-110.
Crossref
Ahmed F. Mashaly & A. A. Alazba. (2018) ANFIS modeling and sensitivity analysis for estimating solar still productivity using measured operational and meteorological parameters. Water Supply 18:4, pages 1437-1448.
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D.V. Siva Krishna Rao K, M. Premalatha & C. Naveen. (2018) Analysis of different combinations of meteorological parameters in predicting the horizontal global solar radiation with ANN approach: A case study. Renewable and Sustainable Energy Reviews 91, pages 248-258.
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Harish Kumar Ghritlahre & Radha Krishna Prasad. (2018) Investigation of thermal performance of unidirectional flow porous bed solar air heater using MLP, GRNN, and RBF models of ANN technique. Thermal Science and Engineering Progress 6, pages 226-235.
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Ahmed F. Mashaly & A. A. Alazba. (2018) Membership function comparative investigation on productivity forecasting of solar still using adaptive neuro-fuzzy inference system approach. Environmental Progress & Sustainable Energy 37:1, pages 249-259.
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Ahmed F. Mashaly & A.A. Alazba. (2017) Thermal performance analysis of an inclined passive solar still using agricultural drainage water and artificial neural network in arid climate. Solar Energy 153, pages 383-395.
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