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From Prediction to Power: Applying Weather, Climate Forecasting, and AI in Renewable Energy - International Renewable Energy Agency (IRENA)

The National · Jan 26

The International Renewable Energy Agency (IRENA) has published a report titled 'From Prediction to Power: Applying Weather, Climate Forecasting, and AI in Renewable Energy'. This publication explores the integration of artificial intelligence with advanced weather and climate forecasting models. It details how these technologies can enhance the efficiency, reliability, and predictability of renewable energy sources, such as solar and wind power. Why it matters: This work highlights the critical role of AI in accelerating renewable energy adoption and achieving global climate goals by transforming intermittent energy sources into more stable and manageable power generation assets.

Satellites, statistics, and prediction: The science driving climate resilience

KAUST · Sep 30

KAUST's HALO group launched a CubeSat in 2023 for high-precision Earth observation in the Gulf region, combining GNSS Reflectometry and hyperspectral sensing. The satellite monitors vegetation, soil, agriculture, and ecosystem health, providing detailed estimates of irrigation water use and vegetation health. The Extreme Statistics (XSTAT) research group at KAUST focuses on the mathematical modeling and prediction of extreme weather and climate events. Why it matters: These KAUST initiatives enhance climate resilience in the region through advanced monitoring, statistical modeling, and predictive capabilities.