ExpertiseUpdated on 13 May 2026
Wind Speed Prediction
Head of Research and Innovation at Nowocert
Dublin, Ireland
About
Our hybrid wind speed forecasting tool combines deep learning and evolutionary optimization to deliver real-time predictions with unmatched accuracy. Key features include:
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Hybrid Model: An AI-based technique combined with improved optimization algorithms ensures faster processing and enhanced prediction capability.
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Real-Time Forecasting: Provides minutely wind speed predictions to optimize wind power generation.
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Improved Algorithm Efficiency: The enhanced optimization algorithms reduce computation time and escapes local optima for better accuracy in dynamic conditions.
This tool supports wind farm operators in maximizing energy output and adapting to rapidly changing wind conditions, ensuring optimal renewable energy utilization.
Field
- Information Science and Engineering
- Energy Systems and Renewables
- Digital and Enabling Technologies
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Head of Research and Innovation at Nowocert
Dublin, Ireland
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Miadreza Shafiekhah
Head of Research and Innovation at Nowocert
Dublin, Ireland
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- Energy Systems and Renewables
Miadreza Shafiekhah
Head of Research and Innovation at Nowocert
Dublin, Ireland