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 meter 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
What is the spatial resolution of Solcast's global irradiance, weather and PV power data?
Ever wondered how Solcast delivers accurate forecasts and bankable actuals? Learn more about how we process input data to deliver high-resolution irradiance, weather, and PV power data globally.
2024 Outlook: What could La Niña mean for US solar this year?
Learn how potential La Niña conditions in 2024 could impact solar production across the US. Check the latest analysis using Solcast API.
Western Europe cloudy while East sees solar gains in May
Europe experienced contrasting weather systems that resulted in a solar divide in May. Learn how these patterns affect solar generation.