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...
Electric utilities are entering a new era of load growth—one defined not by gradual, predictable increases, but by large load requests that arrive quickly and require coordination. Data centers, manufacturing, electrification and AI-driven infrastructure are reshaping...
Accurate solar resource data is the foundation of every successful solar project. Even small differences in resource estimates and data uncertainty can have outsized financial implications, influencing both downside risk and potential upside through improved project...
Announcing PowerClerk® AI advancements and FleetView® integration with PowerClerk at DTECH 2026 (Booth #4343) Utilities are under increasing pressure to manage rapid load growth, rising DER penetration and escalating expectations for operational efficiency. AI is...