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Optimizing energy use in smart grids and buildings with AI-driven predictive maintenance and load forecasting.

Using machine learning to improve recycling processes by identifying and sorting recyclable materials more efficiently.

Employing AI to analyze water usage patterns and forecast demand to reduce waste and manage scarcities.

AI-enabled drones and satellite imagery to track changes in ecosystems, biodiversity loss, and deforestation.

Applying precision farming techniques with AI to use resources more effectively and minimize environmental impact.

Enhancing the efficiency of renewable energy sources through AI-powered forecasting and integration into the power grid.

Improving climate prediction models with AI to make them more accurate and provide better strategies for mitigation and adaptation.

Utilizing AI to monitor, report, and verify emissions, and to identify reduction strategies in industry and transportation.

Leveraging AI to create more sustainable and transparent supply chains with reduced environmental impact.