IEEE

Small-Sample Event Identification Based on Adaptive Second-Order MDF and Triplet CNNs Using Distribution-Level Synchronized Measurements

Abstract: Distribution-level synchronized measurements serve as a valuable resource for event-type identification. The precision in identifying events offers crucial information for fault analysis, ...
IEEE

A Data-Enhanced High Impedance Fault Detection Method Under Imbalanced Sample Scenarios in Distribution Networks

Abstract: It is still a huge challenge for data-driven methods to detect high impedance fault (HIF) within limited field fault data. Even more, classification of imbalanced data has encountered a ...
C&EN

Accelerated Enveloping Distribution Sampling: Enabling Sampling of Multiple End States while Preserving Local Energy Minima

Institute for Molecular Modeling and Simulation, Department for Material Sciences and Process Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Muthgasse 18, 1190 Vienna, ...
Phys.org

Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
C&EN

Matching the Probability Distribution On-the-Fly: OPES-Based Dual-Level Free Energy Calculation

State Key Laboratory of Physical Chemistry of Solid Surfaces and Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry College of Chemistry and Chemical Engineering, Xiamen ...