Predicting the performance of solar dish Stirling power plant using a hybrid random vector functional link/chimp optimization model-Reference-Cited by-同舟云学术

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Predicting the performance of solar dish Stirling power plant using a hybrid random vector functional link/chimp optimization model

Published:2021-07 Issue: Volume:222 Page:1-17
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Zayed Mohamed E.,Zhao Jun,Li Wenjia,Elsheikh Ammar H.,Elaziz Mohamed Abd,Yousri Dalia,Zhong Shengyuan,Mingxi Zhu

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference64 articles.

1. Utilization of Random Vector Functional Link integrated with Marine Predators Algorithm for tensile behavior prediction of dissimilar friction stir welded aluminum alloy joints;Abd Elaziz;J. Mater. Res. Technol.,2020

2. Aboelmaaref, M.M., Zayed, M.E., Elsheikh, A.H., Askalany, A.A., Zhao, J., Li, W., Harby, K., Sadek, S., Ahmed, M.S., 2020a. Design and performance analysis of a thermoelectric air-conditioning system driven by solar photovoltaic panels. Proc. Instit. Mech. Engineers, Part C: J. Mech. Eng. Sci., 0954406220976164.

3. Hybrid solar desalination systems driven by parabolic trough and parabolic dish CSP technologies: Technology categorization, thermodynamic performance and economical assessment;Aboelmaaref;Energy Convers. Manage.,2020

4. Prediction of power in solar stirling heat engine by using neural network based on hybrid genetic algorithm and particle swarm optimization;Ahmadi;Neural Comput. Appl.,2013

5. Connectionist intelligent model estimates output power and torque of stirling engine;Ahmadi;Renew. Sustain. Energy Rev.,2015

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