NOVEMBER 23, 2024 Report Proactive Regulatory Approaches to Electrification and Load Growth: Pre-read Document to Support the July 10-11th Workshop ( Read More )
NOVEMBER 22, 2024 Conference Paper Distribution System State Estimation Using a Multiple Iteration Extended Kalman Filter Approach ( Read More )
NOVEMBER 18, 2024 Report Application Deconfliction Characterization and Alternatives Analysis ( Read More )
NOVEMBER 18, 2024 Journal Article Physical inconsistencies in the representation of the ocean heat-carbon nexus in simple climate models ( Read More )
NOVEMBER 18, 2024 Report Unifying Combinatorial and Graphical Methods in Artificial Intelligence ( Read More )
NOVEMBER 18, 2024 Report Evaluating the Thermal Impacts of Inadvertent Export on Service Transformers ( Read More )
NOVEMBER 18, 2024 Report i2X Technical Assistance: Solar and Storage Industries Institute ( Read More )
NOVEMBER 18, 2024 Conference Paper Extending Power of Nature from Binary Problems to Real-Valued Graph Learning in Real World ( Read More )
NOVEMBER 18, 2024 Journal Article Multi-Agent Voltage Control in Distribution Systems using GAN-DRL-based Approach ( Read More )
OCTOBER 17, 2024 Conference Paper AGS-GNN: Attribute-guided Sampling for Graph Neural Networks ( Read More )
OCTOBER 1, 2024 Conference Paper Development of a Distribution Optimal Power Flow Federate for Open-Source OEDI-SI Platform ( Read More )
SEPTEMBER 19, 2024 Conference Paper SMARTER Rules-Based Distributed Deconfliction of ADMS Applications ( Read More )
SEPTEMBER 19, 2024 Conference Paper Fast Parallel Tensor Times Same Vector for Hypergraphs ( Read More )
AUGUST 7, 2024 Conference Paper Red-QAOA: Efficient Variational Optimization through Circuit Reduction ( Read More )
AUGUST 6, 2024 Conference Paper Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing ( Read More )
AUGUST 6, 2024 Conference Paper FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems ( Read More )
AUGUST 6, 2024 Conference Paper Evaluating Emerging AI/ML Accelerators: IPU, RDU, and and NVIDIA/AMD GPUs ( Read More )