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

Streamlining Large Load Request Workflows
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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SolarAnywhere® Version 4.0 irradiance model launches with extreme weather insights
SolarAnywhere® Version 4.0 irradiance model launches with extreme weather insights

SolarAnywhere customers have plenty to be excited about with this year’s release of Historical Data Version 4.0 (V4.0). Alongside substantial model enhancements that have reduced global data uncertainty, we’ve introduced a new data portal UX/UI with Map Overlay visualizations, making it easier to download data in bulk and understand solar extreme weather trends. Consistent with […]

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