Antares-Xpansion aims at performing investment simulations. It is currently based on Antares_Simulator studies.

The Julia Programming Language

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

AC Optimal Power Flow: a strengthened SDP relaxation and an iterative MILP scheme for global optimization

Gems, a framework for generic modelling in energy systems

PyPSA: Python for Power System Analysis

Python library for reading and editing Antares-Simulator studies

A development environment for robust and global optimization

Multivariate polynomials implementation of commutative and non-commutative variables

A proximal bundle method to solve the dual ACOPF problem

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Extension of MultivariatePolynomials to moments of multivariate measures

A sparse polynomial optimization tool based on the moment-SOS hierarchy.

An optimized graphs package for the Julia programming language

A Power Flow Solver for GPUs in Julia

Reduced-space optimization, for optimal power flow.

Mathematical Modeling for Optimization and Machine Learning

Python interface for OSQP

A solver for nonlinear programming with GPU support

Deep Learning for humans

CVXOPT -- Python Software for Convex Optimization

Benchmarks for the Optimal Power Flow Problem

MIPS – MATPOWER Interior Point Solver for nonlinear optimization problems.

The Operator Splitting QP Solver