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contingency-analysis · GitHub Topics · GitHub

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contingency-analysis

Here are 22 public repositories matching this topic...

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

  • Updated Dec 31, 2025
  • Python

A Julia/JuMP Package for N-k Contingency Analysis in Power Systems

  • Updated Oct 23, 2020
  • Julia

Julia interface for Easy SimAuto(ESA) and PowerWorld Simulator

  • Updated Jul 31, 2023
  • Julia

The project required the computation of the generation shift factors (GSF) based on a defined generator bus outage using the fast-decoupled XB version. The GSF values were used to approximate the post-contingency branch flows based on a pre-contingency branch flow and the generator output before the contingency. The AC power flows were compared …

  • Updated Jul 17, 2025
  • MATLAB

This repo is the code for the 2024 IEEE PES GM paper. It proposes a novel topology embedding method for handling topology problem in power system.

  • Updated May 21, 2024
  • C++

Topological Vulnerability Metrics, Contingency Ranking, Spectral Graph Anlaysis, Spectral Island Clustering

  • Updated Mar 31, 2023
  • MATLAB

Chi2 contengency independence test. Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does vary and somewhat/si…

  • Updated Apr 22, 2021
  • Jupyter Notebook

Chi2 contengency independence test. Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data a…

  • Updated Apr 23, 2021
  • Jupyter Notebook

Chi2 contengency independence test. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis.

  • Updated Apr 24, 2021
  • Jupyter Notebook

1P1Q screening estimates the complex voltage V vector following a disturbance. This project considers either an outage if generator 2 or generator 3 , but not both, affecting the voltage. The program flow and algorithm is as follows

  • Updated Jan 6, 2019
  • MATLAB

AI-native power system analysis platform

  • Updated Aug 4, 2026
  • TypeScript

an AI-powered platform for power system analysis application

  • Updated Jul 1, 2026
  • MATLAB

Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v

  • Updated May 5, 2024
  • Jupyter Notebook

hypothesis-testing

  • Updated May 6, 2021
  • Jupyter Notebook

Leakage-free contingency-screening surrogate: a physics-guided graph-attention GNN that predicts post-contingency voltage security without solving the power flow. Code, data, model, and dashboard for the CJECE paper.

  • Updated Jul 11, 2026
  • Python

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

  • Updated May 5, 2024
  • Jupyter Notebook

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

  • Updated May 5, 2024
  • Jupyter Notebook

Capability-first CLI agent for evidence-backed power-system static analysis with pandapower.

  • Updated Aug 19, 2026
  • Python

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