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 announce the public beta release of our new SolarAnywhere monitoring API, designed to provide you with scalable, seamless and efficient access to real-time data. This new, synchronous API supports fast and reliable data retrieval to...
Clean Power Research® is excited to unlock the power of real-time solar data for more users with the launch of the SolarAnywhere® SystemCheck® Monitoring Dashboard. Users can now access and visualize SystemCheck real-time irradiance data directly from a user...
Clean Power Research® is thrilled to announce the launch of SolarAnywhere® Sub-Hourly Typical Meteorological Year (TMY) irradiance and weather data! This feature provides SolarAnywhere customers with sub-hourly data, enhancing the precision of solar resource...