ShengrenHou

PGSIM

Combined-Heat-and-Power-System-Economic-Dispatch

Deep reinforcement learning approaches for CHP system economic dispatch

COVID-19-Detection

CT, Novel coronavirus, detection, Resnet neural network

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

Battery-Arbitrage

A pyomo implementation of a simple battery arbitrage model.

EconomicDispatch

The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.

energy-py

Reinforcement learning for energy systems

microgridRLsimulator

Delta project benchmarks

PowNet

PowNet: Network-constrained Unit Commitment / Economic Dispatch model in Python with data for Cambodian power system

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Reinforcement-learning-with-pytorch-examples

Policy gradient AC, A2C, DDPG

three_phase_opf_formulation

This project is related to the implementation in Pyomo of a three-phase optimal power flow formulation developed by Pedro P. Vergara from Delft University of Technology (TU Delft).

unit_commitment_with_up_down_time

A unit commitment problem with up and down times.

Vanilla-DQN-for-Bat

Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

HEM-DeepRL-v2

Home Energy Management based on Deep Reinforcement Learning Approach.

introRL

Intro to Reinforcement Learning (强化学习纲要）

ND-Pyomo-Cookbook

A repository of Pyomo examples.

notes

notes_fastai_part2

Chinese version notes of fastai part2

pyomo-tutorials

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

soft-actor-critic

Implementation of the Soft Actor Critic algorithm using Pytorch.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tf2rl

TensorFlow2 Reinforcement Learning

tilecoding

Binary feature representations with tile coding

uc-reference-model

Unit commitment model based on: A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem