Salvador Pineda Morente (salvapineda)

salvapineda

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Company:University of Málaga

Location:Málaga (Spain)

Home Page:spineda.uma.es

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groupoasys

Salvador Pineda Morente's starred repositories

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HiGHS

Linear optimization software

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ESIOS

Comprehensive library to access the Spanish electricity market entity (ESIOS), in python 3

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PyEPO

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

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copt

A Python library for mathematical optimization

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pypsa-earth

PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.

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MO-book

Hands-On Optimization with Python

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imapsync

Imapsync is an IMAP transfers tool. The purpose of imapsync is to migrate IMAP accounts or to backup IMAP accounts. IMAP is one of the three current standard protocols to access mailboxes, the two others are POP3 and HTTP with webmails, webmails are often tied to an IMAP server. Upstream website is

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modeling-examples

Gurobi modeling examples

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MIPcc23

The MIP Workshop 2023 Computational Competition

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lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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mercado_electrico

Repositorio con funciones y scripts para descarga de datos y visualización

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matpower

MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

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manim

Animation engine for explanatory math videos

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VMLS-Companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

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BilevelJuMP.jl

Bilevel optimization in JuMP

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assignment

Assignments and Graders for Discrete Optimization on Coursera

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data-driven-power-flow-linearization

This code studies a linearized PF model through a data-driven approach.

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BanditPAM

BanditPAM C++ implementation and Python package

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PYPOWER

Port of MATPOWER to Python

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OptiCL

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

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docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

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pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

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ND-Pyomo-Cookbook

A repository of Pyomo examples.

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MIPLearn

Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

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UnitCommitment.jl

Optimization package for the Security-Constrained Unit Commitment Problem

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Egret

Tools for building power systems optimization problems

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pypsa-eur

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

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django-auth-tutorial

Source code for Django authentication tutorial.

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