Solcast provides real-time and forecasted solar irradiance and power data globally, utilizing a network of weather satellites and advanced machine learning techniques. This data enables solar energy operators to optimize performance and enhance the bankability of their renewable energy assets.
Funding
$681.9K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Accurate solar irradiance and PV power forecasting are critical for optimizing the performance and bankability of renewable energy assets, yet traditional methods often lack the precision and real-time updates required for effective decision-making. Solar energy operators need reliable data to manage grid stability, optimize energy trading, and ensure efficient plant operations.
Solution
Solcast provides real-time and forecasted solar irradiance and PV power data globally, leveraging a network of weather satellites and advanced machine learning techniques. The company's cloud-based platform crunches over 600 million forecasts hourly, offering high-resolution data updated every 5-15 minutes. Solcast's data enables solar energy operators to enhance the accuracy of their predictions, optimize plant performance, and improve the overall bankability of their renewable energy assets. Data is delivered via a REST API, allowing for seamless integration into existing systems.
Target Audience
Solcast primarily serves solar energy operators, grid operators, independent power producers (IPPs), and energy traders who require accurate solar irradiance and PV power forecasts for optimizing their operations and managing renewable energy assets.
Features
- Global coverage with high-resolution data (up to 5 minute / 90 metre resolution)
- Real-time data updated every 5-15 minutes
- Forecasts spanning from 7 days ago to +14 days ahead
- Historical data and Typical Meteorological Year (TMY) data available
- Proprietary cloud and aerosol detection for accurate irradiance modeling
- PV power modeling for both rooftop and utility-scale systems
- Integration with PV modeling software (PVSyst, SAM, TMY3, CSV)
- REST API for easy data access in JSON or CSV format