Artificial neural network-based optimization of heat absorption process of phase change materials in a novel-designed finned-plate latent heat storage system
As the world transitions to more renewable and clean energy sources, energy storage systems become crucial. They assist in storing surplus energy produced during peak production times and release it when there is a high energy demand. Phase change material (PCM) based latent heat storage systems are...
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Main Authors: | , , , , , , , |
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Format: | Article |
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Elsevier
2024
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Online Access: | http://eprints.um.edu.my/45239/ https://doi.org/10.1016/j.est.2024.111256 |
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