Manage wind project operations while maximizing power production, improving integration, reducing imbalance charges, and trading in real-time, day-ahead, and other forward energy markets.
See also - Regional Wind Energy Forecasting
Forecasting tools are delivered via a client-specific dashboard interface and accompanied by data files available in multiple formats (CSV, XML, XLS).
Aligned with Vaisala's belief in using proven, state-of-the-art modeling technologies to solve forecasting problems, our high-resolution forecast system is a combination of advanced statistical algorithms, highly customized mesoscale numerical weather prediction (NWP) models, self-learning artificial intelligence models, and publicly available weather forecasts, including data from the US National Weather Service as well as other global weather forecast centers. Our model also incorporates the climatology and terrain for your project location using diurnal variability averages on a monthly time-scale and can incorporate real-time data from your project and met tower as well as thousands of surface weather stations.
In order to provide wind forecasting, Vaisala must be supplied with meta data for your project such as: time zone, project location, hub height, turbine model, naming conventions, and other identifiers for met towers and turbines.
For data integration, the skill of the hour-ahead forecasts greatly depends on the timely receipt of high-quality, real-time observations from the client. While hour-ahead forecasts can be provided without observations, the quality of this forecast is greatly improved with real-time data including: project power output, turbine availability, and near hub height wind conditions from met towers. To facilitate the transfer of real-time data, Vaisala will work with you to set up an automated and robust way of transferring this information.