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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
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, ...
GitHub

Windows Subsystem for Linux Distribution Switcher

The purpose of this project is to let you easily download and install new Linux distributions under Windows Subsystem for Linux and seamlessly switch between them. The rootfs archives are currently ...
IEEE

A Sample Screening Method for Calculating Operating Envelopes of Distributed Energy Resources in Three-Phase Distribution Systems

Abstract: The operating envelope (OE) serves as an effective distributed energy resource (DER) management approach by providing the allowable active-reactive power regions under distribution system ...
GitHub

HDT Sampling (Hierarchical Dart Throwing)

A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...