lalajiayou's repositories
algorithms-in-python
All Algorithms implemented in Python
andes
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
Argos.jl
Reduced-space optimization, for optimal power flow.
awesome-public-datasets
A topic-centric list of HQ open datasets.
best-of-ps
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
branching-via-cut-selection
Branching in MILP via Cutting Plane Selection
cpsat-primer
Using and Understanding ortools' CP-SAT: A Primer and Cheat Sheet
Dispa-SET
The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC
dpsim
Real-time power system simulator including powerflow, (dynamic) phasors and EMT
FlexPlan.jl
An open-source Julia tool for transmission and distribution expansion planning considering storage and demand flexibility
GPy
Gaussian processes framework in python
GridCal
GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
hiop
HPC solver for nonlinear optimization problems
mpi-sppy
MPI-based Stochastic Programming in PYthon
NLPModels.jl
Data Structures for Optimization Models
nonconvex-nonconcave-mfd
This repo contains codes for the paper *Nonconvex-nonconcave min-max optimization on Riemannian manifolds*, accepted to TMLR
opf_matrices
ACOPF Sparse Linear Solver Test Suite
Prescient
Prescient production cost modeling platform
pypsa-earth
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
PyVRP
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
RieSmooth
General smoothing method on Riemannian manifold.
RIPM
Riemannian Interior Point Methods (RIPM) for Constrained Optimization on Manifolds
rosetta-opf
AC-OPF Implementations in Various NLP Modeling Frameworks
scot
sparse convex optimizatio toolkit
TSSOS
A sparse polynomial optimization tool based on the moment-SOS hierarchy.
vgi
Value-gradient iteration for convex stochastic control