journal article Apr 01, 2020

An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer

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References
27
[1]
Choi "Membrane capacitive deionization-reverse electrodialysis hybrid system for improving energy efficiency of reverse osmosis seawater desalination" Desalination (2019) 10.1016/j.desal.2019.04.003
[2]
Sano "Effect of a porous spacer on the limiting current density in an electro-dialysis desalination" Desalination (2018) 10.1016/j.desal.2018.01.034
[3]
Lv "Numerical simulation and optimization of the flash chamber for multi-stage flash seawater desalination" Desalination (2019) 10.1016/j.desal.2019.04.032
[4]
Elsheikh "Thin film technology for solar steam generation: a new dawn" Sol. Energy (2019) 10.1016/j.solener.2018.11.058
[5]
Hu "Exergy analysis for the multi-effect distillation - reverse electrodialysis heat engine" Desalination (2019) 10.1016/j.desal.2019.06.007
[6]
Abdullah "Performance evaluation of a humidification–dehumidification unit integrated with wick solar stills under different operating conditions" Desalination (2018) 10.1016/j.desal.2018.04.024
[7]
Abdullah "Rotating-wick solar still with mended evaporation technics: experimental approach" Alexandria Eng. J. (2019) 10.1016/j.aej.2019.11.018
[8]
Abdullah "Rotating-drum solar still with enhanced evaporation and condensation techniques: comprehensive study" Energy Convers. Manage. (2019) 10.1016/j.enconman.2019.112024
[9]
Djebedjian "Theoretical investigation on the performance prediction of solar still" Desalination (2000) 10.1016/s0011-9164(00)00029-1
[10]
Modeling of solar energy systems using artificial neural network: A comprehensive review

Ammar H. Elsheikh, Swellam W. Sharshir, Mohamed Abd Elaziz et al.

Solar Energy 2019 10.1016/j.solener.2019.01.037
[11]
Mohanraj "Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—a review" Renew. Sustain. Energy Rev. (2012) 10.1016/j.rser.2011.10.015
[12]
Mohanraj "Applications of artificial neural networks for thermal analysis of heat exchangers–a review" Int. J. Therm. Sci. (2015) 10.1016/j.ijthermalsci.2014.11.030
[13]
Santos "Modeling solar still production using local weather data and artificial neural networks" Renew. Energy (2012) 10.1016/j.renene.2011.09.018
[14]
Mashaly "Thermal performance analysis of an inclined passive solar still using agricultural drainage water and artificial neural network in arid climate" Sol. Energy (2017) 10.1016/j.solener.2017.05.083
[15]
Mashaly "Predictive model for assessing and optimizing solar still performance using artificial neural network under hyper arid environment" Sol. Energy (2015) 10.1016/j.solener.2015.05.013
[16]
Abujazar "Productivity modelling of a developed inclined stepped solar still system based on actual performance and using a cascaded forward neural network model" J. Cleaner Prod. (2018) 10.1016/j.jclepro.2017.09.092
[17]
Chatterjee "Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings" Neural Comput. Appl. (2017) 10.1007/s00521-016-2190-2
[18]
Rezaeianzadeh "Flood flow forecasting using ANN, ANFIS and regression models" Neural Comput. Appl. (2014) 10.1007/s00521-013-1443-6
[19]
Basheer "Artificial neural networks: fundamentals, computing, design, and application" J. Microbiol. Methods (2000) 10.1016/s0167-7012(00)00201-3
[20]
Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari, Seyedali Mirjalili, Hossam Faris et al.

Future Generation Computer Systems 2019 10.1016/j.future.2019.02.028
[21]
Shehabeldeen "Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer" J. Mater. Res. Technol. (2019) 10.1016/j.jmrt.2019.09.060
[22]
Ibrahim "A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm" Energy Convers. Manage. (2017) 10.1016/j.enconman.2017.02.006
[23]
Elaziz "Improved prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger using modified adaptive neuro-fuzzy inference system" Int. J. Refrig (2019) 10.1016/j.ijrefrig.2019.03.009
[24]
Chen "A new accuracy measure based on bounded relative error for time series forecasting" PLoS ONE (2017) 10.1371/journal.pone.0174202
[25]
El-Sadek "Water use optimisation based on the concept of Partial Rootzone Drying" Ain Shams Eng. J. (2014) 10.1016/j.asej.2013.09.004
[26]
Holman (2012)
[27]
Wang (2005)
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Published
Apr 01, 2020
Vol/Issue
170
Pages
115020
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F.A. Essa, Mohamed Abd Elaziz, Ammar H. Elsheikh (2020). An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer. Applied Thermal Engineering, 170, 115020. https://doi.org/10.1016/j.applthermaleng.2020.115020