Research: Solar Prediction

Research: Solar Prediction

Observed Recent Trends in the Solar Resource across North America: Changing Cloud-cover, AOD and the Implications for PV Yield
+  |  September 2020

In years recent to 2020, low solar-resource in the Eastern U.S. was observed in the SolarAnywhere® dataset. This paper...

Improved PV System Modeling with ML-Based Power Model: Case Study of a Commercial Building
+  |  September 2019

Solar PV system specifications are critical to accurately modeling PV system production (along with high-quality...

EPIC Solar Forecasting Task 3 Final Report: Grid-Connected and Embedded PV Fleet Forecasting Accuracy
+  |  July 2019

This report, prepared with an Electric Program Investment Charge (EPIC) fund, describes new methods for improving...

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...

Day-Ahead Irradiance Forecast Variability Characterization Using Satellite Data
+  |  July 2016

This article calculates day-head forecast variability as function of historical clearness index based on intraday...

Importance of Input Data and Uncertainty Associated with Tuning Satellite to Ground Solar Irradiation
+  |  July 2016

Although the uncertainty of satellite data such as SolarAnywhere® Data has been shown to be low, it can be challenging...

Solar Energy Forecast Validation for Extended Areas & Economic Impact of Forecast Accuracy
+  |  July 2016

This article evaluates the accuracy of solar forecast models, including SolarAnywhere®, as a function of geographic...

Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations
+  |  May 2016

This paper describes a study, funded by the U.S. Department of Energy, to evaluate new, state-of-the-art solar...

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...

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...

Off-Shore Wind and Grid-Connected PV: High Penetration Peak Shaving for New York City
+  |  March 2012

This article presents an experimental evaluation of the combined effective capacity of off-shore wind and...

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...

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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