MeteoFlow is an integrated system for forecasting medium- and long-term meteorological variables at any type of renewable facility. Developed entirely by our meteorological forecasting experts within the Power business, the programme has been innovating for more than 15 years to adapt to the sector’s new challenges and has become a benchmark, achieving accuracy rates above those of the solutions currently available on the market.
MeteoFlow is Iberdrola's own computer system with the fundamental mission of estimating how much the Group's various renewable energy facilities will produce in the coming hours and days. This privileged information allows for optimal decision-making in the energy markets, as well as helping to find the time windows in which to schedule the Operation and Maintenance (O&M) of the facilities causing the least damage, among other functions.
Developed entirely by the team of meteorological forecasting experts within the Power business, and with more than 15 years of history, MeteoFlow has evolved to include the use of the most modern weather forecasting techniques, as well as machine learning, artificial intelligence and big data technologies. These advances have been made possible thanks to professionals in different fields who are responsible for the maintenance, monitoring and development of the system.
Extensive technical expertise, detailed knowledge of renewable energy generation technologies, as well as seamless integration with other tools for facility operation has enabled MeteoFlow to maintain hit rates above those of other solutions on the market.
Estimation of the electricity production of any renewable installation and weather forecasting at its sites
Projections for wind, photovoltaic and hydroelectric plants
This recognition highlights more than 20 years of continuous work in innovation and technological development by the Iberdrola Group, with a business model based on sustained investment in R&D&I, as well as Meteoflow’s participation in research projects carried out in collaboration with leading international centres.
Data processing and optimisation
Global weather information
Historical production data
MeteoFlowOptimal prediction of renewable production
Real-time production data
Predictive machine learning models
Renewable energy forecasting
Based on meteorological information - mainly wind forecasts for wind farms and solar radiation forecasts for photovoltaic plants - MeteoFlow produces production forecasts for all renewable facilities, including onshore and offshore wind farms, photovoltaic plants and, more recently, hydroelectric facilities. It also provides service to all countries where the Iberdrola Group is present, tailoring forecasts to local requirements and end users.
From the data initially obtained, the programme refines the data with the latest machine learning and Artificial Intelligence techniques, currently achieving an hourly forecast of up to 96 hours and a daily forecast of up to 10 days for more than 450 wind and photovoltaic power plants.
All generation technologies, including renewables, must anticipate their output in the electricity markets by hours or even days, and there is a penalty if these forecasts are missed. The more accurate our energy production forecasts are, the higher the revenues of the installations, the greater their profitability and the greater the capacity for renewables to outperform other energy sources.
Metereological forecasting
MeteoFlow has been providing the long- and short-term meteorological forecast maps on Iberdrola's intranet since 2016. In addition, for the specialised field of Renewables, it has a tool integrated within Domina - the set of tools for the operation and maintenance of facilities - that allows all users to have direct access not only to forecast maps, but also to meteorological and power forecasts adjusted to each of the facilities in Europe, the United States, Mexico, Brazil and offshore (offshore wind farms).
All of this is accompanied by a set of weather alerts for situations that can affect the facilities, such as extreme winds, storms or frost.
Sale of energy produced
Choice of maintenance windows
Reporting
Hydraulic forecasting
Another MeteoFlow functionality is hydraulic forecasting, which has a valuable application both in the calculation of the producible forecast in our hydropower facilities, as well as in supporting hydraulic operation and maintenance and energy management.
Through weather forecasting and observation, the tool indicates the probability of precipitation in 24 hours, the probability of snow, maximum and minimum temperatures and storms. In terms of flow prediction, it generates a daily forecast, up to a 10-day horizon, and is working on an hourly one, up to 48 hours.
Wave forecasting
Wave forecasting is essential for our many offshore installations: from wind turbines and the rest of the installations that make up an offshore wind farm, to the incipient floating photovoltaic energy installations. Wave forecasting, including wave height, supports the construction phase and helps optimise the operation and maintenance phase. MeteoFlow currently provides short-term wave forecasting services for up to 72 hours and long-term wave forecasting services for up to 10 days.
Display and analysis tool
MeteoFlow offers various visualisation and analysis tools, on demand for Iberdrola's users, with which to try to get more and more out of the large amount of information stored in the system. The visualisation and study of this data provides support for operation and maintenance planning and energy management, as well as facilitating the analysis of results and deviations, re-evaluation and testing of new forecasting methods for the MeteoFlow team itself.
Projections for wind, photovoltaic and hydroelectric plants 
Integrated self-development system 
Serving more than 16GW in 12 countries 
Historical production data 
MeteoFlow Optimal prediction of renewable production 
Real-time production data 
Predictive machine learning models 
Renewable energy forecasting
Metereological forecasting
Sale of energy produced 
Choice of maintenance windows 
Reporting 
Hydraulic forecasting
Wave forecasting
Display and analysis tool