SolarAnywhere® Services
Site-adaptation studies, custom solutions & expert adviceSite-Adaptation (Ground Tuning) Studies
Combine your ground-based measurements with SolarAnywhere irradiance data to reduce the uncertainty of your solar resource assessments and increase project profitability. SolarAnywhere site-adaptation studies use an advanced methodology to tune long-term solar resource data to your ground-based measurements.
- Reduce yield assessment uncertainty
- Secure financing
- Optimize costs
- Account for interannual variability
SolarAnywhere Custom Solutions
Our team has been laser focused on developing a better understanding of satellite-to-solar irradiance modeling since the release of the first version of the SUNY model in 2003. Needless to say, no one understands your SolarAnywhere data better than we do. Contact us today to see how we can help you get more out of your data.
Areas of expertise include:
- Solar resource assessment
- Solar forecasting and plant optimization to meet firm power requirements
- Data integrations
Read more about what makes us solar data experts.
Blog
Unlock Accurate Clipping Loss Analysis with 1-minute Typical Year Data
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...
Gain better solar resource insight and operational alignment with new SolarAnywhere® 5-minute real-time data
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...
Beyond TMY: Unlocking solar potential in Northern regions with high latitude time-series data
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...



