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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

Dynamic Graph Variational Sparse Coding for Power Distribution Network Fault Location and Classification

Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...
IEEE

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Abstract: Reactive power optimization of distribution networks is traditionally addressed by physical model based methods, which often lead to locally optimal solutions and require heavy online ...
Frontiers

Resilience optimization and dynamic stability defense in active distribution networks under extreme disasters: a graph learning and cooperative control approach

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...
GitHub

PYSTAND - Install Python Versions From The Python-Build-Standalone Project

install Install one, more, or all versions from a python-build-standalone release. update (or upgrade) Update one, more, or all versions to another release. remove (or uninstall) Remove/uninstall one, ...
GitHub

Publish Local LLMs and Apps on the Internet.

With Llama Tunnel, you can publish your local LLM APIs and apps on the internet so that you can use your local LLMs and LLM apps on the go and share them with friends. The services are also published ...