- MeteoFlow, developed since 2004, predicts renewable energy production based on weather conditions.
- The platform uses AI and Big Data for real-time meteorological and operational data management.
- MeteoFlow's predictions aid in reducing emissions and improving energy planning and infrastructure protection.
Overview of MeteoFlow
MeteoFlow is a platform developed by Iberdrola since 2004 to predict renewable energy production, particularly for weather-dependent sources like wind and solar. It has evolved with new technologies and continuous improvements.
Technological Advancements
The platform combines advanced weather models with artificial intelligence to deliver accurate predictions. Each renewable facility has models tailored to its characteristics, allowing production estimates from one hour to ten days in advance.
Integration and Impact
MeteoFlow facilitates the integration of renewable energy into the electricity system, enhancing grid management and contributing to a cleaner, safer, and more efficient energy model. It aids in reducing emissions, improving energy planning, and protecting critical infrastructures against weather phenomena.
Recognition and Development
The International Research Centre on Artificial Intelligence (IRCAI), linked to UNESCO, has recognized MeteoFlow as one of the world's 100 most outstanding AI projects in the Global AI & SDG Index, with an "Excellent" rating. This recognition highlights over twenty years of continuous innovation and collaboration with international research centers.
