Alemu Tadesse | Aug 12, 2016
Solar resource variability is an unavoidable natural characteristic that impacts solar power forecasting. However, its impact on forecast uncertainty can be reduced by providing information on predictive uncertainty, along with deterministic forecast values. Having...
Mark Liffmann | Aug 4, 2016
If you own an iPhone, you’ve seen the familiar message “iOS 9.3.3 is available for your iPhone and is ready to install.” If you’re like me, you hit “Remind me later” a few dozen times before you actually install the update. Call me paranoid, but I always have to take...
Richard Perez | Jul 13, 2016
In our last blog, we talked about the performance of SolarAnywhere® v4 PV fleet forecasts, and discussed how accuracy was a function of the PV fleet’s geographic footprint. For instance, SolarAnywhere hour-ahead forecasts in the Western U.S. were shown to have a...
Richard Perez | Jul 1, 2016
PV fleet forecasts Solar forecasts are traditionally concerned with predicting the output of solar PV systems at particular locations. Consequently, much of what is known about solar forecast accuracy is centered on point validations. Fleet forecasts consider the...
Richard Perez | Jun 16, 2016
The capacity of behind-the-meter PV systems is growing steadily. Figure 1 illustrates that there is over 5 GW of PV in California alone. The number is continuing to increase. The result is that behind-the-meter PV fleet forecasts are becoming increasingly important...
Kelly Wagman | Jun 2, 2016
Bankable solar irradiance data is crucial to minimizing cost of capital for solar projects. Check out this infographic to find out what you need to know when selecting resource data. Want to see the infographic in full size? Download it now: Download Infographic Learn...
