SA Data

SA Data

Behind-the-Meter PV Fleet Forecasting
+  |  March 2013

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
 |  May 2012

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

Reporting of Irradiance Model Relative Errors
+  |  March 2012

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

Solar Resource Variability: Myth & Fact
 |  March 2012

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

Evaluating Irradiance Accuracy Using California ISO Data: Lessons Learned
+  |  February 2012

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
+  |  March 2011

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

Weather Adjusted Performance Guarantees
+  |  May 2010

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

Blog

The new SolarAnywhere® Probabilistic Forecast enhances risk management
Jun 25, 2025
The new SolarAnywhere® Probabilistic Forecast enhances risk management

PV forecasts are important for energy scheduling and grid stability. Traditional methods for near-term forecasts involve blending an ensemble of Numerical Weather Predictions (NWPs) into a single deterministic output, which is favored because it is simple to implement in operations. However, deterministic forecasts do not convey any information about marginal risks or the propensity for […]

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Streamlining Large Load Request Workflows
Jun 10, 2025
Streamlining Large Load Request Workflows

This year’s DTECH Data Centers and AI conference made it clear that in the era of AI and data centers, large load requests are hitting utilities faster and at greater scale than ever before. Policy, pricing, supply chain, and physical infrastructure are well-known...

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