Developers, utilities and independent system operators depend on accurate time-series solar irradiance data for project siting, planning and operations. Groundbreaking solar prediction research quantifies the accuracy of PV output modeling, solar irradiance data and irradiance forecasting, as well as describing methods for modeling high-speed PV output variability.
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 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 paper presents a study of how PV performance model results are affected when satellite-based weather data is used...
Although the uncertainty of satellite data such as SolarAnywhere® Data has been shown to be low, it can be challenging...
This paper quantifies the residual errors in plane of array irradiance (POAI) at locations where ground-measured GHI...
In this presentation, you'll learn about which type of solar irradiance data—typical year, ground or satellite—is...
This paper describes procedures suitable for the optimal combination of ground-based and satellite-based irradiance...
Small-scale variabilities of solar irradiance are important for many applications. Downscaling approaches need to be...
This article evaluates the accuracy of solar forecast models, including SolarAnywhere®, as a function of geographic...
This article presents an experimental evaluation of the combined effective capacity of off-shore wind and...
This paper describes how to generate more accurate Weather-Adjusted Performance Guarantees for PV systems using a...
This presentation describes how measured data was used to evaluate the potential of PV to satisfy the electrical needs...
This report, prepared with an Electric Program Investment Charge (EPIC) fund, describes new methods for improving...
This report, prepared with an Electric Program Investment Charge (EPIC) fund, describes the results of research to...
This presentation discusses how probabilistic forecasting enables electric utilities and grid operators to reduce...
This paper describes a study, funded by the U.S. Department of Energy, to evaluate new, state-of-the-art solar...
Clean Power Research received a California Solar Initiative (CSI) Research, Development, Demonstration and Deployment...
SolarAnywhere® FleetView® is generating behind-the-meter PV forecasts in California, enabling utilities and ISOs to...
Lean how SolarAnywhere® FleetView® is being integrated into CAISO planning and operations tools to provide power...
Clean Power Research received a California Solar Initiative (CSI) Research, Development, Demonstration and Deployment...
In April 2010, Clean Power Research received a California Solar Initiative (CSI) Research, Development, Demonstration...
This article focuses on station pairs, and investigates the correlation of their short-term variability as a function...
This paper describes analytical methods and tools to quantify PV fleet output variability that can be used by utility...
This paper introduces a novel approach to estimate the maximum short‐term output variability that a fleet of PV...
Zeitview (formerly known as DroneBase) is an innovator in the field of aerial energy system inspections. They recently launched North American Solar Scan, a service that provides insight into every solar asset in the U.S. above 1MW. Zeitview utilizes planes and drones...
On-site meteorological stations and site-specific satellite data work together in this case study featuring Invenergy Services. Invenergy Services is a clean energy asset O&M provider that has honed its offerings through 20 years of experience and a portfolio of...
Globally, the cumulative installed capacity of solar PV is set to triple by 2027, accounting for nearly 22% of total power capacity. With this rapid expansion and growth of solar in diverse geographical and climatic regions, solar stakeholders now face unprecedented...