longpingli

longpingli's Stars

• Lizhi-sjtu/DRL-code-pytorch

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

  Language:Python1.1k615185

• Future-Power-Networks/MAPDN

  This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

  Language:Python21534055

• tahanakabi/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 main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.

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• ShengrenHou/DRL-for-Energy-Systems-Optimal-Scheduling

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

  Language:Python11731527

• ShengrenHou/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

  Language:Python1056620

• WHUzxp/Supports_for_AEPS

  电力系统自动化《考虑电动汽车可调度潜力的充电站两阶段市场投标策略》源代码

  Language:MATLAB750128

• liuzuxin/cvpo-safe-rl

  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)

  Language:Python685107

• WHUzxp/stackelberg_Game

  主从博弈 下层KKT条件 强对偶处理双线性

  Language:MATLAB552222

• yanchang-liang/agent-based-modeling-in-electricity-market-using-DDPG-algorithm

  Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm

  Language:Python422111

• WHUzxp/Dual_SOCP

  潮流计算 二阶锥松弛 对偶形式

  Language:MATLAB24109

• Aaronong/SQLitmus

  A simple and practical tool for SQL data generation and performance testing

  Language:HTML18400

• jlp237/MA-VPP-RL-bidding

  Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant

  Language:Jupyter Notebook18136

• ksaswin/Electricity-Market-Clearing

  Find the electricity market clearing price and clearing quantity (graphical method) using python.

  Language:Python11102

• Artifitialleap-MBZUAI/rl-p2p-price-prediction

  Real-time price prediction in P2P energy systems

  Language:Jupyter Notebook10002

• VadimSokolov/Energy-EVT

  Code and data fo "Deep Learning for Energy Markets" paper (https://arxiv.org/abs/1808.05527)

  Language:Python10404

• hoseinkh/Market-for-Renewables

  This is a Python pachage for the Two-Settlement electricity markets with renewable energy resources.

  Language:Python410

• ShengrenHou/Vanilla-DQN-for-Bat

  Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids

  Language:Python110