Optimization of Carbon Dioxide Emissions Reduction Using Artificial Intelligence: A Review for Industrial and Electric Vehicle Perspectives

Omnia M. Osama^1,*, Marwa M. Eid², El-Sayed M. El‑Rabaie³

¹Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, Egypt

²Faculty of Artificial Intelligence,Delta University for Science and Technology,Mansoura 35111, Egypt

³Faculty of Electronic Engineering,Menoufia University,Department of Electronics and Communications,Menouf 32952, Egypt

Emails: Omnya.osama@dhiet.edu.eg; mmm@ieee.org; srabie1@yahoo.com

Abstract

Artificial intelligence systems are revolutionizing how industries reduce carbon dioxide emissions in numerous business fields. This study combines research on how artificial intelligence merges with carbon reduction methods, specifically in industrial procedures and electric vehicle manufacturing, with an environmental sustainability focus. Multiple empirical studies and advanced AI models provide insight into sustainability effects caused by AI systems and emission decrease processes. AI technology performs three essential functions to enhance energy optimization pro, mote eco-friendly research, and improve environmental prediction accuracy. The identified information provides essential guidance to policymakers and industrial leaders about AI applications for achieving zero emissions and sustainability targets. The review presents evidence that AI technology can redefine sustainability throughout vehicle production while managing transportation and other fields thus helping solve escalating climate issues and drive eco-friendly developments.

Keywords: AI; Carbon emission reduction; Industrial processes; Electric vehicles; Sustainability; Energy efficiency