Modeling Drivers of Building-Sector Emissions in GCC Countries Using Advanced Machine Learning

Behnam Ata

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS13] Regional and global urban climate processes across multi-temporal scales

Fri. May 29, 2026 10:45 AM - 12:15 PM 106 (International Conference Hall, Makuhari Messe)

Chairperson:Varquez Galang Alvin Christopher(Institute of Science Tokyo), Li Dan(Boston University), Kusaka Hiroyuki(University of Tsukuba), Ito Rui(Japan Agency for Marine-Earth Science and Technology)

11:30 AM - 11:45 AM

[MIS13-09] Modeling Drivers of Building-Sector Emissions in GCC Countries Using Advanced Machine Learning

*Behnam Ata¹, János Pénzes¹, Gábor Kozma¹, Safwan Mohammed^2,3 (1. University of Debrecen, Department of Social Geography and Regional Development Planning, 2. Institute of Land Use, Technical and Precision Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary , 3. Institutes for Agricultural Research and Educational Farm, University of Debrecen, Böszörményi 138, 4032 Debrecen, Hungary )

Keywords:Machine Learning, GCC, GHG emissions, Urbanization, building-sector