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
How we did it: The story behind Solcast’s big result in major forecast accuracy competition
Take a behind-the-scenes look at how Solcast topped the charts in the forecast accuracy trial, using its Advanced PV Model and years of continuous improvements.
Sunny End to Summer Boosts Solar in Most of Europe
Most of Europe saw record-breaking solar generation in August, with irradiance up to 20% above normal, driven by a strong high-pressure system.
Solcast’s forecast accuracy proven in major competitive trial
Proving its leadership in solar forecasting, Solcast, a DNV Company, achieved the lowest error rate in the EPRI trial spanning 5 solar plants and 12 weeks from hour ahead to day ahead.