From artificial intelligence-driven efficiency to transmission bottlenecks, power industry insiders share their perspectives ...

Researchers at the Department of Energy's Oak Ridge National Laboratory partnered with the University of Tennessee to develop ...

Abstract: The data-driven methods based on the graph convolution architecture provide a promising direction for accelerating power flow (PF) calculation. These methods directly predict operational ...

Abstract: With distributed energy resources (DER) continuing to grow, power systems are encountering increased challenges for resource inference and optimization in the distribution network. Given the ...