SA Data

SA Data

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...

Clean Power Research Takes on PV Fleet Management Challenges with Ground-Breaking Data Sources and Analysis Capabilities

Utilities and ISOs can now plan and operate PV fleets reliably and cost-effectively, enabling higher PV penetration...

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...

Short-term Irradiance Variability: Station Pair Correlation as a Function of Distance

This article focuses on station pairs, and investigates the correlation of their short-term variability as a function...

Weather Adjusted Performance Guarantees

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

Blog

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 […]

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