SolarAnywhere Posts | Sep 14, 2016
This week, we’re pleased to present a post from GroundWork® Renewables’ CEO Ann Gaglioti. Measuring irradiance data in the field reduces the uncertainty of the energy production assessment and results in a measurable return on investment during project...
SolarAnywhere Posts | 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...
SolarAnywhere Posts | 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...
SolarAnywhere Posts | 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...
SolarAnywhere Posts | 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...
SolarAnywhere Posts | 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...
