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matcasc

MATCASC is an open source MATLAB based tool to analyse cascading failures in power grids.

maui-smart-grid

Data Science Software for the Maui Smart Grid Project.

mcbb.jl

Monte Carlo Basin Bifurcation Analysis

mode-estimation-2017

multiscale-sampling-supplement

Code supplement for "Optimized Sampling for Multiscale Dynamics"

netinf

objectstab

A Modelica Library for Power System Stability Studies

onlinecourse-inertia

optdmd

A MATLAB package for computing the optimized dynamic mode decomposition (DMD)

pmu_event_library

power-grid-frequency

Power-Grid Frequency

power_grids

Topologies of power networks

powergraphics.jl

A package to generate visualizations from PowerSimulations.jl results. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

powermodels.jl

A Julia/JuMP Package for Power Network Optimization

powersimulations.jl

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

powersimulationsdynamics.jl

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

powersystemcasebuilder.jl

Package to build Cases for Power Systems Modeling

powersystems.jl

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

powersystemstestdata

properorthogonaldecomposition.jl

Julia package for performing the proper orthogonal modal decomposition technique

pudl

The Public Utility Data Liberation Project

pycwt

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pysindy

SINDy (Sparse Identification of Nonlinear Dynamics) algorithms

pysr

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

pystatsml

Statistics and Machine Learning in Python

python-for-probability-statistics-and-machine-learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

quartz

🌱 host your own second brain and digital garden for free

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

scatteredinterpolation.jl

Interpolation of scattered data