How we created a “nowcasting” tool to help grid operators adjust to rapid changes in solar power production.

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Hungary is leveraging an AI-based nowcasting system to predict solar power generation up to 2.5 hours ahead using real-time meteorological satellite data. This helps in managing the variability in solar energy production, crucial for grid operators. The project addresses challenges such as data integration, handling weather variability, and computational requirements. Key takeaways include the significant importance of data quality, robust preprocessing, and real-time processing capabilities. Future opportunities include integration with ground-based sensors and extending prediction horizons.

Accurate Solar Power Prediction: A Real-Time Nowcasting Solution

Behind the Scenes: Our Approach to Training the Model

Significant Gains Over Traditional Approaches

Key Takeaways from Model Development and Data Integration