Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election-based optimizer

Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election-based optimizer

Membrane desalination (MD) is an efficient process for desalinating saltwater, combining the uniqueness of both thermal and separation distillation configurations. In this context, the optimization strategies and sizing methodologies are developed from the balance of the system’s energy demand. Ther...

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Bibliographic Details
Main Authors: Mohamed Abd Elaziz, Mohamed E. Zayed, H. Abdelfattah, Ahmad O. Aseeri, Elsayed M. Tag-eldin, Manabu Fujii, Ammar H. Elsheikh
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Alexandria Engineering Journal
Subjects:
Machine learning-aided modeling
Direct contact membrane distillation
Long-short term memory
Election-based optimization algorithm
Freshwater production prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823011067

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http://www.sciencedirect.com/science/article/pii/S1110016823011067

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