This research provides government researchers, utilities, independent system operators and developers information on PV power output models and methods of calculating and quantifying the accuracy of satellite-derived solar irradiance data for specific applications.
Satellite-derived solar irradiance data are known to underestimate temporal variability compared to point measurements...
The ability to forecast solar irradiance plays an indispensable role in solar power forecasting, which constitutes an...
As interest in bifacial PV modules grows, there is a need to quantify the impact of additional energy generation for...
Solar PV system specifications are critical to accurately modeling PV system production (along with high-quality...
This paper provides the results of using an alternative method to calculate annual insolation probability of...
This article calculates day-head forecast variability as function of historical clearness index based on intraday...
This article evaluates the accuracy of solar forecast models, including SolarAnywhere®, as a function of geographic...
This article presents and validates the latest version of the SUNY model for using satellite imagery to calculate...
The California Energy Commission’s Public Interest Energy Research (CEC PIER) program awarded Clean Power Research a...
This paper summarizes operational improvements to the existing SUNY satellite-to-solar irradiance model used to...
This paper summarizes the deployment of a 71 station solar monitoring network in Sacramento, Calif., and its use in...
This article evaluates the ability of three operational satellite models (SolarAnywhere® Standard, Enhanced, and High...
Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error...
This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance...
This paper presents a validation of the short- and medium-term global irradiance forecasts that are produced as part...
This paper presents a study of how PV performance model results are affected when satellite-based weather data is used...
This paper validates the Clean Power Estimator obstruction analysis algorithm based on results produced by the Solar...
This paper describes and validates a simple PV simulation model capable of predicting average PV output as a function...
Every solar project—from a 100 kW rooftop to a 5 GW utility-scale portfolio—depends on solar resource data. The smartest teams in the industry don't just trust that irradiance data; they scrutinize its accuracy and account for its uncertainty at every step. With the...
SolarAnywhere® is often associated with utility-scale or distributed PV, but our solar irradiance data powers a lot more than solar plants. A great example: Piotr Lichota at the Warsaw University of Technology is using SolarAnywhere to figure out when to launch...
Research into slowly evolving climate patterns may be the key to bridging an important forecasting gap. The missing month Solar forecasting has become remarkably good—provided the forecast is either for the immediate future or for the long term. Modern numerical...