An open source model predictive control package for Julia.

Macro allows you to optimize the design and operations of large multi-sector energy systems.

A tool to quickly and easily create inputs for power systems models

Data models for Power Systems investment models.

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

Example multi-sector energy systems for Macro (MacroEnergy.jl)

A Julia/JuMP Package for Power Network Optimization

A package for solving optimal power flow problems using distributed algorithms.

Methods to generate matrix representations of power systems matrices

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

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

Utility package for Sienna's simulation infrastructure

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

Extensible Combinatorial Optimization Learning Environments

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

Professional Website

A game theoretic approach to explain the output of any machine learning model.

A Platform for Scalable Modeling and Optimization

Collection of Power Flow solution methods based on PowerSystems.jl

Modeling library for Power Systems investment models. E.g., Capacity Expansion and Transmission Expansion