Solar Forecast Tools
- MOS-corrected day-ahead GHI or power* forecast
- Downloadable forecast data files
- See how forecasts are evolving over time by comparing the current forecast with previous predictions.
- Power forecasts* can be delivered in place of GHI when historical irradiance, power production data, or a power conversion formula is provided.
- An API is also available for faster integration of downloadable forecast data into your internal analysis tools and programming software.
- Customizable dashboard interface.
- Guaranteed 24/7 availability.
- Frequency. The forecast is updated every 6 hours, provides predictions at an hourly granularity, and projects 60 hours into the future.
- Security. Easily set your own permissions system for access to forecast information with unique usernames and passwords. In addition, Vaisala provides a secure password protected web host server for all data transfers.
Forecasting information is made available via a client-specific dashboard interface accompanied by data files in an easily integrated CSV file format. Data files can also be accessed via API.
Vaisala developed our solar forecast using the most physically robust technique to provide accurate irradiance and power forecasts specific to a solar project's unique environment. The numerical weather prediction model Vaisala employs is an open source model continually updated and improved upon by the international atmospheric science and research community.
In the forecast model initialization process, we statistically integrate historical observations provided by the client or hourly, high-resolution (3km), satellite derived solar data, which are well calibrated to ground measurements. This statistical process is called model output statistics (or MOS) and significantly reduces forecast error and bias. In addition, Vaisala validates the solar forecast using our global solar dataset, which is based on over a decade of actual, high-resolution visible satellite imagery observations.
To provide solar forecasting, Vaisala must be supplied with all the meta data for your project such as: time zone, project location, and panel information. For power forecasting the client must provide historical irradiance, power production data, or a power conversion formula. Historical data is not required for GHI forecasting.