This report and presentation summarizes a Value of Solar® study conducted for Austin Energy in the fall of 2013....
This paper summarizes the deployment of a 71 station solar monitoring network in Sacramento, Calif., and its use in...
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...
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...