These papers highlight the benefit of combining high-quality solar ground data with satellite derived solar irradiance data to reduce solar project uncertainty.
Although the uncertainty of satellite data such as SolarAnywhere® Data has been shown to be low, it can be challenging...
This paper quantifies the residual errors in plane of array irradiance (POAI) at locations where ground-measured GHI...
In this presentation, you'll learn about which type of solar irradiance data—typical year, ground or satellite—is...
This paper describes procedures suitable for the optimal combination of ground-based and satellite-based irradiance...
Accurate solar resource data is the foundation of every successful solar project. Even small differences in resource estimates and data uncertainty can have outsized financial implications, influencing both downside risk and potential upside through improved project...
Clean Power Research® is excited to introduce SolarAnywhere® high-resolution Typical GHI Year (TGY) and Typical DNI Year (TDY) datasets at 1-minute and 5-minute temporal resolutions. By leveraging AI-powered downscaling algorithms, these datasets deliver highly...
Clean Power Research® is excited to announce the launch of 5-minute, 500-meter real-time solar data for SolarAnywhere® SystemCheck® users across the continental U.S. (CONUS), Hawaii, Mexico and the Caribbean. With this high-resolution data, PV performance engineers...