Solar data services… in the cloud
We built a new approach to solar forecasting and modeling technology from the ground up, using the latest in weather satellite imagery, machine learning, computer vision and big databases. We crunch more than 600 million new forecasts every hour in a cloud-based environment on AWS and provide real-time access to our data via API. Use the API Toolkit to access nearly 20 years of historical data, including TMY files.
Historical and TMY Data
- Low uncertainty, zero bias, bankable dataset
- Independent validation & global coverage
- High resolution data: Up to 5 minute / 90 metre resolution
- PV modelling software integration (PVSyst, SAM, TMY3, CSV)
- Solar irradiance (GHI, DNI, DHI)
- Weather (Temp, Wind, Humidity, Snow, etc)
- Includes aerosol impacts (tracking of smoke, dust, haze)
Live and Forecast Data
- Solar irradiance data (GHI, DNI, Diffuse)
- Weather (Temp, Wind, Humidity, Snow, etc)
- PV power modelling (Rooftop or Utility Scale)
- Fully-global coverage
- Rapid update (new forecasting data every 5-15 minutes)
- Proprietary cloud & aerosol detection (tracking smoke, dust, haze)
- Probabilistic forecasting outputs
- Real-time data through to 14 days ahead at 5, 10, 15, 30 & 60 minute resolution
- Delivered via REST API (download CSV or JSON)
Learn more about our data
Latest Posts
Cloud cover vs Cloud opacity: Which should you use for solar forecasting?
Understand how cloud cover and cloud opacity impact surface irradiance. Learn which metric is more applicable for solar energy applications.
Storm Boris delivers record rain and early snows across Europe
Storm Boris brought severe flooding with record-breaking rainfall across Central Europe, while the UK and Alpine regions saw their first snowfalls of the season.
Typhoon Yagi triggers significant drop in solar production across Southeast Asia
Discover how Typhoon Yagi, a Category 5 storm, caused unprecedented drops in solar production across Southeast Asia, impacting cities like Hanoi, Shenzhen, and Manila.