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Python机器学习算法技术博客，有原创干货！有code实践！

combined-heat-and-power-system-economic-dispatch

Deep reinforcement learning approaches for CHP system economic dispatch

copy_uc_rhuc

Rolling Horizon Wind-thermal Unit Commitment Optimization based on Deep Reinforcement Learning论文代码

dc3

DC3: A Learning Method for Optimization with Hard Constraints

drl-building-energy-ctr

Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on the CoSES ProHMo Modelica framework, efficiently controls a building's heat pump and thermal storage valve.

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

drl-for-energy-systems-optimal-scheduling

The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling

drl-for-microgrid-energy-management

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the

emsrl

fcdrl_tscopf

Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints

im_code_imagination_mechanism

About Code release for "Imagination Mechanism: Mesh Information Propagation for Enhancing Data Efficiency in Reinforcement Learning"

lstm-time-series-forecasting_keras

lstm time series forecasting implemented by keras 2.4 & tensorflow 2.3

marl_local_electricity

Multi-agent reinforcement learning for privacy-preserving, scalable residential energy flexibility coordination

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

multi_action_head_ppo

PPO with multi-head/autoregressive action outputs

optimal-energy-system-scheduling-combining-mixed-integer-programming-and-deep-reinforcement-learning

The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

power_system_dataset

powergridworld

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969

recurrent-fuzzy-neural-network

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

rl_lib

developing rl_lib

rl_opf

rl_vcontrol

rl_vpp_thesis

Main optimization objectives of the VPP are: Valley filling and peak shaving. Main action performed to reach objectives are: storage of Renewable energy resources and power push in the grid at high demand times. Assumptions of high number of vehicles connected for minimum time of 3-4 hours in the grid.

rpo

Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"

runpowernetworks

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

smr

sample multiple reuse

uniformgan

UniformGAN: generative adversarial network in copula space