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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

ccgro-toy-case

learn from Paper named: Solving two-stage robust optimization problems using a column-and-constraint generation method

code

Code of the nuciti project will go here

code-1

运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。

drlforpowersystemrecovery

Master Thesis Project for DRL in power system restoration using renewables

energy-hub-market-operation

Participation of an Energy Hub in Electricity and Heat Distribution Markets:

energy_and_reserves_dispatch_with_drjcc

Electronic companion for research paper "Energy and Reserves Dispatch with Distributionally Robust Joint Chance Constraints"

farmersph

This GAMS model solves the "Farmer's Problem" (Birge and Louveaux 2010) using a progressive hedging algorithm.

joint-optimization

This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Di Wang, and Baosen Zhang. "Using battery storage for peak shaving and frequency regulation: Joint optimization for superlinear gains." IEEE Transactions on Power System.

juliazh.jl

Julia语言的中文文档(支持REPL)

lpv

This algorithm exhibits a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, it is based on a self-gain scheduled controller, which guarantees the H performance for a class of linear parameter varying (LPV) systems.

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

mes_resilience

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

placement-optimisation-of-evcs

The project implements python and JavaScript to find the probably locations of EV charging stations by reducing the overall cost functions of driving distances and installation charges whole optimising the load distribution and positions in a city.

power-system-optimization

Some Solutions for Power System Optimization by Python. DC power flow, AC power flow, optimal power flow, multi-objective optimal power flowetc

power-systems-optimization

Power systems optimization course materials

power-systems-optimization-1

Implementation of Optimization Techniques for Economic Dispatch of Power Systems

power-systems-optimization-using-julia-language

progressivehedgingsolvers.jl

Progressive hedging algorithms for two-stage stochastic programs, written in Julia.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pythonexercise

Python 编程练习题 100 例（源码），实例在 Python 3.6 环境下测试通过。

pythonrobotics

Python sample codes for robotics algorithms.

reinforce

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-for-real-time-pricing-and-scheduling-control-in-ev-charging-stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcementlearning

rl-zoo

Implementations of Reinforcement Learning Algorithm