Solar power forecasts
For producers, operators, traders and grid operators
Why do we need solar power forecast?
The energy produced by solar power plants is variable. The production of a solar farm depends indeed on weather conditions (irradiance, clouds, etc.) which can be particularly difficult to predict. However, knowing the production of a solar plant beforehand is necessary to efficiently integrate it into power grids and markets. This is why meteo*swift has developed a reliable solar power forecasting solution for producers, operators, traders and grid operators.
The meteo*swift solution:
Artificial Intelligence is at the heart of our technology. Our system collects and leverages huge amount of datas coming from three main sources:
- Production and local data coming from solar plants’ SCADA (Supervisory control and data acquisition) and weather stations
- Solar irradiance forecast from satellite imagery
- Numerical weather prediction models from weather agencies
All of these data are then processed by meteo*swift’s machine learning algorithms which provide ultra-accurate power forecasts.
Deterministic and / or probabilistic forecasts
Intraday, Day-ahead, Week-ahead
(15min, 30min, 1h, etc.)
API, FTP, SFTP
Predictions available for any location worldwide
NMAE, NRMSE, other KPIs upon request
Example: Deterministic solar power forecast – Production of a ground mounted photovoltaïc plant in kW – Horizon D+4
We provide a customizable Data-As-A-Service solution compatible with any existing asset management or trading platform.
Our customers’ data are stored in ultra-secure datacenters via monitored and encrypted connections.
Our redundant architecture ensures high data availability, without any shortage nor disruption in our forecasting service.