Finance

Finance

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 >>>

Blog

Enhancing precision with new SolarAnywhere® sub-hourly TMY data
Enhancing precision with new SolarAnywhere® sub-hourly TMY data

Clean Power Research® is thrilled to announce the launch of SolarAnywhere® Sub-Hourly Typical Meteorological Year (TMY) irradiance and weather data! This feature provides SolarAnywhere customers with sub-hourly data, enhancing the precision of solar resource assessments. By offering granular data at 15-, 30- and 60-minute temporal resolutions and at 1-km spatial resolution, we empower SolarAnywhere users […]

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