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...
The seventh edition of the Solar Risk Assessment from kWh Analytics is now available. This annual report brings together data-driven insights from leading voices across the solar industry to explore emerging risks faced by solar developers, operators and financiers....
SolarAnywhere customers have plenty to be excited about with this year's release of Historical Data Version 4.0 (V4.0). Alongside substantial model enhancements that have reduced global data uncertainty, we've introduced a new data portal UX/UI with Map Overlay...
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...