To deal with both hours-ahead and days-ahead operations, the service offers time series datasets of expected energy, covering a period starting from the next hour up to 14 days ahead.
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Receive forecasts tailored to the specific needs of solar power plants. Solargis Forecast service includes all relevant parameters to cover all the use cases related to solar (and solar + wind) power assets.
To deal with both hours-ahead and days-ahead operations, the service offers time series datasets of expected energy, covering a period starting from the next hour up to 14 days ahead.
Since forecasts are continuously changing as new inputs are being received, the service is continuously generating updated data streams. Updates every 10/15 minutes are delivered for forecasts covering the next hours and 4 times a day for forecasts covering the next days.
The use of advanced simulation models makes it possible to predict the energy power output expected for any type of PV configuration. This applies to systems with trackers, whose tracking algorithm is also modeled in the simulations.
For wind power assets, or projects combining both solar and wind generation capacity, Solargis Forecast service provides a complete solution including predictions of expected wind power output.
Get outputs from the best-performing forecasts for each time horizon. Solargis Forecast combines several models and forecasting techniques to deliver gap-less data streams with the lowest expected deviation.
In addition to NWP models, we make use of real-time satellite data to calculate expected cloud cover in the next hours. The so-called Cloud Motion Vector (CMV) model is suitable up to 3-4 hours ahead and it is incorporated into the forecasted Time Series delivered.
Numerical weather prediction (NWP) models have different capabilities depending on the weather conditions. For this reason, Solargis Forecast service uses a consensus forecast that optimally integrates forecasts from various NWP models.
The service does not rely on the availability of real energy production data to run and calibrate the models. We can do this thanks to the implementation of advanced yield simulation models able to reproduce PV and wind plants’ behavior for particular irradiance and meteorological conditions forecast at each instant of time.
Solargis Forecast service can generate and aggregate forecasts for two or more, even thousands of energy generation assets. This is especially useful when it is required to predict the aggregated solar (or solar + wind) energy production for a certain country or region, no matter the size of the assets (utility-scale, commercial, rooftop, etc).
Know the expected accuracy for particular locations in advance. This information is key to planning necessary actions on your asset operations, both on the business and technical side of things.
We evaluate the performance of forecasts by comparing historical forecasts with solar radiation modeled based on satellite observations. This is key to understanding the expected range of deviations and in the case of hybrid systems, it helps determine the storage optimum capacity.
By knowing a long enough period of real production data, our team of experts can adjust the inputs influencing forecast accuracy to decrease the systematic deviations to the minimum possible.
Connect any platform with data streams provided by Solargis Forecast API. This way you can incorporate forecasts into your daily O&M and trading activities more efficiently.
Request and exchange data in a standardized way using HTTP protocols. This can add a lot of flexibility to your forecast reporting needs.
Together with the REST API, we also offer the possibility to receive data via SFTP/FTP for those users who work under this data transfer protocol.
A full set of system settings for calculating the expected power output is available within the API. This can be very helpful for achieving more realistic power production values from the forecast service.