SolarAnywhere

SolarAnywhere

EPIC Solar Forecasting Task 2 Final Report: Data Forecasting Accuracy

This report, prepared with an Electric Program Investment Charge (EPIC) fund, describes the results of research to...

Advancing the Science of Behind-the-Meter PV Forecasting

This presentation discusses how probabilistic forecasting enables electric utilities and grid operators to reduce...

Extending Fleet Forecasting Capability into the Probabilistic Realm

This presentation demonstrates how a new approach to PV fleet forecasting can address the problem of artificially high...

Satellite-to-Irradiance Modeling – A New Version of the SUNY Model

This article presents and validates the latest version of the SUNY model for using satellite imagery to calculate...

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...

Forecasting Output for 130,000 PV Systems in California

Lean how SolarAnywhere® FleetView™ is being integrated into CAISO planning and operations tools to provide power...

Predicting Short-term Variability of High Penetration PV

This article evaluates the ability of three operational satellite models (SolarAnywhere® Standard, Enhanced, and High...

Determining Storage Reserves for Regulating Solar Variability

This paper describes the initial validation of a method of quantifying PV variability by using satellite-derived solar...

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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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 […]

Read More5