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...
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...
As solar development expands into higher latitudes—from Alaska to the Nordics—the need for accurate, high-resolution solar resource data becomes increasingly critical. These regions experience extreme seasonal variation in daylight hours, making precise modeling...