ymiftah

ymiftah's Stars

• JuliaDynamics/NonlinearDynamicsComplexSystemsCourse

  Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia

  Language:Jupyter Notebook5715

• odow/SDDP.jl

  A JuMP extension for Stochastic Dual Dynamic Programming

  Language:Julia30961

• SciML/DiffEqDocs.jl

  Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

  Language:Julia278244

• WenjieDu/PyPOTS

  A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  Language:Python1.1k106

• SanPen/GridCal

  GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.

  Language:MATLAB41894

• jinningwang/best-of-ps

  🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.

  15924

• Team-Nando/MV-LV-Networks

  Language:Python2510

• metab0t/PyOptInterface

  Efficient modeling interface for mathematical optimization in Python

  Language:C++2128

• TuringLang/Turing.jl

  Bayesian inference with probabilistic programming.

  Language:Julia2k219

• NREL-Sienna/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.

  Language:Julia30979

• jump-dev/JuMP.jl

  Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

  Language:Julia2.2k396

• akxen/egrimod-nem

  Details the construction of datasets describing the topology and participants of Australia's National Electricity Market (NEM)

  Language:HTML2010

• UNSW-CEEM/nempy

  A Python package for modelling the Australian National Electricity Market dispatch procedure

  Language:Python5027

• Pyomo/pyomo

  An object-oriented algebraic modeling language in Python for structured optimization problems.

  Language:Python2k518

• NREL-Sienna/PowerSimulations.jl

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

  Language:Julia28154

• ucg8j/awesome-dash

  A curated list of awesome Dash (plotly) resources

  Language:Python2.1k259

• PyPSA/pypsa-eur

  PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System

  Language:Python341239

• Grid2op/lightsim2grid

  LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-france/grid2op) platform.

  Language:Python5010

• e2nIEE/simbench

  Electrical Power System Benchmark Dataset directly usable with pandapower (use the project website for other tools)

  Language:Python10229

• e2nIEE/pandapower

  Convenient Power System Modelling and Analysis based on PYPOWER and pandas

  Language:Python867482

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.3k2k

• nashory/gans-awesome-applications

  Curated list of awesome GAN applications and demo

  5k810

• deepgenerativemodels/notes

  Course notes

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• microsoft/BatteryML

  Language:Jupyter Notebook504107

• csiro-energy-systems/Synthetic-NEM-2000bus-Data

  This repository contains the Matpower files of a synthetic network model for National Electricity Market (NEM) of Australia.

  Language:MATLAB213

• power-grid-lib/pglib-uc

  Benchmarks for the Unit Commitment Problem

  Language:TeX8629

• power-grid-lib/pglib-opf

  Benchmarks for the Optimal Power Flow Problem

  Language:MATLAB30283

• ANL-CEEESA/UnitCommitment.jl

  Optimization package for the Security-Constrained Unit Commitment Problem

  Language:Julia10624

• martinbiel/StochasticPrograms.jl

  Julia package for formulating and analyzing stochastic recourse models.

  Language:Julia7525

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.2k2.6k