Project cooperationUpdated on 2 December 2025
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:
-
Hybrid Model: An AI-based technique combined with improved optimization algorithms ensures faster processing and enhanced prediction capability.
-
Real-Time Forecasting: Provides minutely wind speed predictions to optimize wind power generation.
-
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.
Topic
- Energy Efficiency
- Sustainability
- AI-GenAI /Data/Robotics
- Batteries
- Hydrogen
Type
- Partner seeks Consortium
Organisation
Similar opportunities
Project cooperation
Leveraging high resolution wind data for multiple applications
- Decarbonisation
- Energy Efficiency
- Partner seeks Consortium
- Energy Intensive Industries
Antonio Gómez
R&D manager at Nabladot, S.L.
Zaragoza, Spain
Expertise
Seasonal Energy Storage Scheduler
- Hydrogen
- Batteries
- Sustainability
- Decarbonisation
- Energy Efficiency
- Modelling, simulation, predictive technologies
Miadreza Shafiekhah
Head of Research and Innovation at Nowocert
Dublin, Ireland
Expertise
Digital solutions for industrial & environmental processes
- Decarbonisation
- Energy Efficiency
- Modelling, simulation, predictive technologies
Antonio Gómez
R&D manager at Nabladot, S.L.
Zaragoza, Spain