Artificial Intelligence Applications in Combating Climate Change: Strategic Approaches through Real-Time Data

Abstract

This study investigates the potential of artificial intelligence (AI) technologies in combating climate change, focusing on a data-driven analysis based on the case of Turkey. The purpose of the research is to examine how AI-driven systems can support environmental sustainability and contribute to policy development. The method involves a literature review of AI applications in emission reduction, climate modeling, and sustainability strategies, followed by an empirical analysis using greenhouse gas emission data published by the Turkish Statistical Institute (TurkStat). Utilizing the Python programming language and open-source libraries, emission trends are examined over time, and sectoral contributions are evaluated. The findings reveal that sectors such as energy, agriculture, and industry constitute the largest shares of total emissions and that these shares have changed significantly over the years. The results indicate that integrating AI-powered predictive models can enhance the accuracy of emission monitoring and support the creation of more effective and data-driven climate policies. In conclusion, the study demonstrates that AI-supported approaches can play a transformative role in addressing climate change and may provide policymakers with strategic insight toward achieving sustainable development goals.