Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems

Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems

Progress in artificial intelligence and machine learning has significantly improved the capability to accurately predict the properties of nano-enhanced phase change materials (NePCMs). Machine learning can be a reliable solution to avoid the cost and time of repetitive tests to measure thermophysic...

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Bibliographic Details
Main Authors: Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, Pradeep Kumar Singh, Komal Parashar, Ali E. Anqi, Husam Rajab, Pancham Cajla, H. Maleki
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Energy Conversion and Management: X
Subjects:
Machine learning
Artificial intelligence
Multilayer perceptron neural network
Phase change material
Thermal energy storage
Latent heat
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174524003131
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