SolarAnywhere

SolarAnywhere

EPIC Solar Forecasting Task 2 Final Report: Data Forecasting Accuracy
+  |  July 2019

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
+  |  July 2019

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

Extending Fleet Forecasting Capability into the Probabilistic Realm
+  |  July 2019

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
+  |  August 2015

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

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...

Forecasting Output for 130,000 PV Systems in California
+  |  February 2013

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

Predicting Short-term Variability of High Penetration PV
+  |  March 2012

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

Determining Storage Reserves for Regulating Solar Variability
 |  November 2011

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

Blog

Investigating variation of soiling and snow loss models using SolarAnywhere® data
Jul 2, 2024
Investigating variation of soiling and snow loss models using SolarAnywhere® data

Soiling and snow on PV systems can lead to significant annual energy losses, reaching up to 50%1 and 40%2 in certain regions. Our study investigates common models for estimating soiling and snow-related energy impacts. By analyzing these soiling and snow loss models at a 1 km spatial resolution, incorporating typical PV system parameters and leveraging […]

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SolarAnywhere Data Version 3.8 includes new high latitude irradiance data
Jun 12, 2024
SolarAnywhere Data Version 3.8 includes new high latitude irradiance data

Clean Power Research® releases a new SolarAnywhere® data version annually. This year’s update addresses the changing needs of the solar industry as projects expand to more northern, snowy locations with appreciable wind risk by offering new high-latitude irradiance data. Consistent with years past, we also published our annual validation whitepaper to communicate the accuracy of […]

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2024 Solar Risk Assessment report: Data-driven insights address emerging risks
Jun 11, 2024
2024 Solar Risk Assessment report: Data-driven insights address emerging risks

This sixth annual Solar Risk Assessment (SRA) report is now available, offering deep insights into extreme weather and operational risk, and for the first time, battery energy storage system (BESS) risk. The report is published by kWh Analytics and features articles from more than a dozen industry leaders. This year’s report includes strategies for addressing […]

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