Patrick Keelin | Sep 18, 2018
Until now, SolarAnywhere® has offered two types of data: time-series and typical year (TGY). Today we’ve added a third option, probability of exceedance, or PXX for short. The “XX” refers to the probability that the level of irradiance will be exceeded in a given...
Patrick Keelin | Mar 14, 2018
Thanks to our subscribers, partners and hard-working development team, SolarAnywhere® has become the most trusted and vetted solar resource dataset available. In 2017 alone, the SolarAnywhere team: Topped an EPRI study for forecasting Spotted a calibration issue at...
Patrick Keelin | Feb 8, 2018
The SolarAnywhere® team transforms satellite images into industry-leading solar irradiance data. We make algorithms, not satellites, so when NOAA/NASA upgrades the hardware, we take notice of the possibilities—and get to work. On January 2, 2018 we made a seamless...
Richard Perez | Aug 1, 2017
Troubleshooting ground measurements with satellite irradiance data We recently reported how the use of SolarAnywhere® Data made it possible for us to detect an unreported irradiance sensor calibration issue at one of the nation’s most trusted reference stations: the...
Morgan Putnam | May 25, 2017
Utility processes and systems impacted by distributed PV In previous blog posts, we’ve looked at how the growth of distributed PV can impact grid operation at the system level. These blogs addressed how distributed PV can lead to the often referenced “duck curve,” and...
| Nov 28, 2017