Approximating heat loss in smart buildings through large scale experimental and computational intelligence solutions

Approximating heat loss in smart buildings through large scale experimental and computational intelligence solutions

The attainment of energy sustainability in the building sector can be realised by implementing a green building programme, which has grown significantly over the last thirty years. Green building is considered a technical and management strategy within the building and construction industries. Many...

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Bibliographic Details
Main Authors: Nidhal Ben Khedher, Azfarizal Mukhtar, Ahmad Shah Hizam Md Yasir, Nima Khalilpoor, Loke Kok Foong, Binh Nguyen Le, Hasan Yildizhan
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Green buildings
heat loss
harmony search
particle swarm optimisation
artificial neural network
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2023.2226725

Internet

https://www.tandfonline.com/doi/10.1080/19942060.2023.2226725

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