Thermal conductivity improvement in a green building with Nano insulations using machine learning methods

• Main Authors: Ghalandari M., Mukhtar A., Yasir A.S.H.M., Alkhabbaz A., Alviz-Meza A., C�rdenas-Escrocia Y., Le B.N.
• Other Authors: 57210118858
• Format: Article
• Published: Elsevier Ltd 2024
• Subjects: Energy saving; Green buildings; Green house gases; Machine learning; Nano insulation; Optimization; Buildings; Decision trees; Energy dissipation; Energy efficiency; Energy utilization; Learning systems; Support vector machines; Thermal insulation; Conductivity improvement; Different thickness; Energy savings; Energy-savings; Green house gas; Machine learning models; Machine-learning; Optimisations; Greenhouse gases

In this paper, the energy loss of the green building is optimized based on the thickness and lay-up of the Nano-insulation. As different thicknesses and lay-up of the Nano-insulation have a direct effect on energy consumption of the green building with 1590 square meters, especially with nanomateria...