Cutting-edge science, robust modeling techniques, and super-computing capabilities combine to create highly accurate wind and solar forecast data.
Vaisala Forecaster for wind and solar energy creates exceptionally accurate forecasts for site-specific locations and entire regions, giving asset owners, project managers, and energy traders high quality data to effectively manage investments, reduce future risks, and gain a competitive edge in the wind energy market.
Superior modeling techniques create accurate irradiance and power forecasts specific to a solar project’s unique environment, with a prediction interval ranging from 5 minutes to 240 hours in the future.
Wind data is available as hour-, day-, and week-ahead forecasts with 1-hour granularity and frequent updates.
For over 20 years, Vaisala Forecaster has been relied upon by some of the world’s leading renewable energy operators and traders. Together with our customers, we have learned what works and what doesn’t, and have continuously refined and improved our system — often working with national laboratories to incorporate the latest advances into our methods.
All data is delivered though a client-specific dashboard, with data files available in multiple formats to meet individual use case specifications. API is available for faster integration of forecasts into internal analysis and programming platforms.
The forecast data offers guaranteed 24/7 access through the customizable dashboard interface, complete with permission setting and password protection, so customers can obtain data when they need it while ensuring its security.
Learn how Vaisala’s Forecaster for renewable energy helps drive maximum value from investments in wind and solar resource projects.
Forecasts available as site-specific or regional, providing asset owners, project managers, energy traders,
and schedulers superior information for decision-making.
Vaisala makes its resource maps broadly available to illustrate the potential of renewable energy around the globe. The maps are regularly published for a wide variety of media, academic, governmental, and commercial purposes.
Outline of standard practices followed to ensure accurate solar assessment, along with Vaisala's methodology to continually update our global solar dataset.
Case study presenting results of an independent validation exercise using data from solar observation stations in the U.S.