Implementation of ANN and GA on building with PCM at various setpoints, PCM types, and installation locations to boost energy saving and CO\(_2\) saving

DOI10.1016/J.ENGANABOUND.2022.08.006OpenAlexW4293071139WikidataQ113875145 ScholiaQ113875145MaRDI QIDQ6137907

Rasool Kalbasi, Salman Abbasian-Naghneh

Publication date: 16 January 2024

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2022.08.006

zbMATH Keywords

genetic algorithmenergy consumptionPCMANNCO\(_2\) emissions

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Biology and other natural sciences (92-XX)

Cites Work

• Machine learning-based prediction of transient latent heat thermal storage in finned enclosures using group method of data handling approach: a numerical simulation

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