Estimating the aggregate power for hundreds of thousands of PV sites to improve load forecasting, manage your VPP, or beat the market.
Cloud and irradiance tracking
Tracking the world's clouds in the finest detail
Designed for Solar, from the ground up. Never rely on generic weather model data again. Solcast's real time and forecast data tracks and forecasts real clouds at a resolution of 1-2km and 5 minutes. Our irradiance and PV power data is updated every 5 to 15 minutes. Aerosol and albedo effects are explicitly treated.
Customisation
Simplify your approach with powerful customisations unique to your network
Grid Aggregations are dynamic and tailored specifically to your requirements. We model the power output from all solar PV systems in a given market, geographic or network region, creating real-time and forecast power data for each.
Visibility
Achieve visibility over your network with a hardware-free solution
Actionable insights delivered with updates up to every 5 minutes, delivered in real-time. We include probabilistic forecasting outputs, to enable your team to achieve BtM visibility and model network risk.
Data access
Improve load forecasting, reduce network risk and enable modern solutions
Build gross demand profile which capture the impacts of cloud cover on behind-the-meter solar. Identify periods of minimum demand or reverse power flows, with confidence. Transform DER from unknown to predictable and improve your load model absolute error by 5-10%.
Next Steps
Grid Aggregation Data Specifications
| Geographic coverage | Global, except for ocean and polar regions. |
| Temporal coverage | Historic data: January 2007 to 7 days ago Operational data: -7 days ago to + 7 days ahead |
| Temporal resolution | 5, 10, 15, 30 & 60 minutes (period-mean values) |
| Spatial resolution | 2km (irradiance and cloud parameters, over all non-polar continental areas and nearby islands) 27km (other parameters, and polar or remote oceanic regions) |
| Data parameters |
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| Data access | Via the Solcast API & Solcast Web Toolkit |
| File formats | JSON and CSV (CSV not recommended for automation) |