Behind-the-Meter PV Fleet Forecasting

Grid-connected PV in the U.S. has grown substantially over the past several years and grid operators are increasingly...

Reporting of Irradiance Model Relative Errors

Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error...

Solar Resource Variability: Myth & Fact

Examines short-term solar resource variability caused by passing clouds. View Article >>>

Evaluating Irradiance Accuracy Using California ISO Data: Lessons Learned

This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance...

Validation of Short & Medium Term Operational Solar Radiation Forecasts in the U.S.

This paper presents a validation of the short- and medium-term global irradiance forecasts that are produced as part...

Weather Adjusted Performance Guarantees

This paper describes how to generate more accurate Weather-Adjusted Performance Guarantees for PV systems using a...

The Value of Distributed Photovoltaics to Austin Energy & the City of Austin

Quantifies the comprehensive value of distributed PV to Austin Energy. Download PDF >>>


Reduce uncertainty with higher-resolution typical year solar resource data
Reduce uncertainty with higher-resolution typical year solar resource data

Typical year irradiance datasets (TGY, TDY) summarize solar resource at a location. This data is generated to reflect the most probable (P50) monthly total irradiance, based on a long history of solar resource. SolarAnywhere calculates typical year data from a maximum span of time-series observations for each region—more than twenty-five years in many areas. Our […]

Read More5