Grid-connected PV in the U.S. has grown substantially over the past several years and grid operators are increasingly...
Utilities and ISOs can now plan and operate PV fleets reliably and cost-effectively, enabling higher PV penetration...
Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error...
Examines short-term solar resource variability caused by passing clouds. View Article >>>
This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance...
This article focuses on station pairs, and investigates the correlation of their short-term variability as a function...
This paper describes how to generate more accurate Weather-Adjusted Performance Guarantees for PV systems using a...
Announcing AI capabilities, FleetView® and new partner integrations ahead of DISTRIBUTECH 2025 As global beneficial electrification accelerates, utilities and their tools must continually adapt. The US Department of Energy is explicitly encouraging utilities to...
PowerClerk® API Integrations using Python can improve the efficiency of any PowerClerk program. Connecting digital systems to share data will reduce mismatches, errors, and improve accuracy. Automating review processes, updating results from inspections, or work order...
Electric utilities are facing unprecedented challenges as the rapid growth of behind-the-meter (BTM) distributed energy resources (DERs) such as solar PV and electric vehicles redefine the requirements to plan, operate and maintain a reliable grid. The use of...