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Artificial intelligence

AI-Powered Wind Speed Prediction Enhances Renewable Energy Efficiency in Spain

Strategic Insights

— 2 min read

Researchers at the University of Cordoba have proposed two methodologies using artificial intelligence to predict extreme wind speeds, enhancing the efficiency of wind power in Spain. Wind energy accounted for 23.2% of the Spanish electricity system's energy injection last year, according to Red Electrica's 2024 report. The AYRNA group's work, part of the national NEXO research project, focuses on improving wind speed prediction to optimize wind turbine management. The team's neural network-based models can forecast wind speed ranges and associated energy production, with one system achieving over 94% accuracy for extreme wind events.

Key Takeaways:

  • The AYRNA group at the University of Cordoba has developed two artificial intelligence-based methods for predicting extreme wind speeds, improving wind power efficiency in Spain.
  • Wind energy accounted for 23.2% of the Spanish electricity system's energy injection in 2023, according to Red Electrica's 2024 report.
  • The AI-powered models can forecast four wind speed ranges: low, moderate, high, and extreme, with estimated ranges of wind energy production.
  • Each model was trained on over 13 years of data and uses variables such as wind components at different altitudes, pressures, and air temperatures.
  • The first model performs similarly across all four wind classes, while the second excels in predicting extreme wind events, with over 94% accuracy for gusts exceeding 20 meters per second.
  • The models were developed as part of the national NEXO research project, which aims to develop AI models for renewable energy, meteorological events, and medical applications.
  • The proposed methodologies can be extrapolated to different wind farms, but require retraining and validation for specific settings.

Statistics:

  • 23.2%: the percentage of energy injected into the Spanish electricity system by wind energy in 2024 (Red Electrica).
  • 13 years: the amount of time for which the AI models were trained on wind speed data.
  • 4 hours: the maximum time horizon for wind speed predictions made by each model.
  • 94%: the accuracy of the second AI model for predicting extreme wind events (gusts exceeding 20 meters per second).
  • 2 models: the number of AI methodologies proposed by the AYRNA group for predicting wind speeds and associated energy production.

Sources:

  • VerticalNews Science, "AI-Powered Wind Speed Prediction Enhances Renewable Energy Efficiency in Spain" (2025).
  • Red Electrica, "2024 Report on Energy Injection into the Spanish Electricity System" (2024).
  • University of Cordoba, "AYRNA Group: Improving Wind Speed Prediction with Artificial Intelligence" (no date).
  • NEXO Research Project, "National Research Project on Artificial Intelligence for Renewable Energy, Meteorology, and Medicine" (no date).

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