Energy Forecasting
For Solar, Wind and Hydropower
Meteomatics supports energy forecasting at two levels: raw meteorological inputs and ready-to-use power forecasts. Access solar irradiance, hub-height wind, temperature, and cloud cover from global and high-resolution downscaled models through one RESTful Weather API, or receive ready-made solar and wind generation forecasts at individual-asset and portfolio level. Delivered as time series, grids, or polygons across historical, real-time, and forecast horizons, in JSON, CSV, or NetCDF for direct integration into load, generation, and trading models.
Trusted by 300+ Energy Leaders Worldwide
Renewable Energy Forecasting Solutions
Get precise solar power generation forecasting with high-resolution weather prediction for solar power plants. Our solar energy forecast solutions use real-time and historical solar production forecasts to optimize operations.
Energy Forecasting Solutions Based on the Most Accurate Weather Data in the Market
For power plants generating over one gigawatt of renewable energy, even a 1% forecasting error can lead to annual losses of millions of euros.
Demand Forecasting Manager
Brook Green Supply
Alongside the CWV service, the Meteomatics API is exceptionally accurate and user-friendly. It can be used not only by technical experts but also by data analysts with basic Python programming skills.
Principal Specialist Research and Digitalisation
Swissgrid
A key advantage was the ability to deliver ad-hoc solutions for critical projects very quickly. For one project related to Dynamic Line Rating, this translated into significant cost savings.
Leiter Betrieb Stromnetz
energis-Netzgesellschaft mbH
With Meteomatics’ reliable weather data, we can prepare more effectively, coordinate our actions more precisely, and minimize service disruptions. This enables us to fulfill our role as a grid operator in ensuring a reliable and secure power supply for the region.
DSO Data Science & Development Manager
UK Power Networks
More frequent and higher-spatial granularity weather data has been a game changer for creating probabilistic forecasts, meaning we can retain the same operational resiliency and reliability whilst using our network assets more efficiently.
CEO
LEAG Energy Cubes
Meteomatics is the ideal partner, delivering exceptional data quality and service. We rely on its wind and solar forecasts for over 500 plants (1,100+ MW), enhancing intraday and day-ahead energy management, cutting costs, and optimizing our trading yields.
Senior Operations Research Analyst
BKW
The Meteomatics Weather API is unique in the market as it provides flexible and fast access to a huge amount of weather data in different data formats.
Software Product Manager
Heimdall Power
Leveraging high-quality data from the Meteomatics Weather API, Heimdall Power boosts the transmission capacity of high-voltage power lines by an average of 25%, enhancing both efficiency and reliability in power delivery.
Demand Forecasting Manager
Brook Green Supply
Alongside the CWV service, the Meteomatics API is exceptionally accurate and user-friendly. It can be used not only by technical experts but also by data analysts with basic Python programming skills.
Principal Specialist Research and Digitalisation
Swissgrid
A key advantage was the ability to deliver ad-hoc solutions for critical projects very quickly. For one project related to Dynamic Line Rating, this translated into significant cost savings.
Customer Success Stories
Learn how our weather solutions drive positive impact for our energy customers.
Frequently Asked Questions
Accuracy comes from combining multiple global and regional weather models with high-resolution downscaling to the exact asset location. Customers report that Meteomatics' high-resolution European weather model — EURO1k — provides a differentiated view of the market, helping them make significant savings in imbalance costs.
Yes. Beyond raw weather parameters, Meteomatics delivers ready-made solar and wind power generation forecasts at individual-asset and portfolio level. Energy teams can consume finished power-output forecasts directly, without building their own weather-to-megawatts conversion models.
Yes. Temperature, humidity, wind, and solar radiation are core inputs to electricity load models. Meteomatics provides these and many more parameters as consistent historical and forecast time series for any location, so utilities and traders can model demand and combine it with generation forecasts for net-load and balancing decisions.
All data is available through one RESTful Weather API, returned in JSON, CSV, NetCDF, and other formats, as time series, grids, or polygons. This lets data and ML engineers pipe both weather parameters and finished power forecasts directly into existing load, generation, and trading models.
Talk to an Expert To Improve Your Energy Operations
Talk to an Expert