AI for Climate Change Mitigation: A Review of Machine Learning Applications in Environmental Sustainability
Abstract
Climate change poses a global challenge, and AI-driven solutions are playing a crucial role in mitigating its impact. This review examines ML applications in climate science, including predictive climate modeling, carbon footprint reduction, and energy optimization. We discuss recent advancements in AI-based satellite imagery analysis, renewable energy forecasting, and climate risk assessment. Finally, we outline the limitations and potential of AI in driving sustainable environmental policies and decision-making.
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