xhyuuuu's Stars
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
openai/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
PyPSA/PyPSA
PyPSA: Python for Power System Analysis
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
pranz24/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
cityflow-project/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
xuehy/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
intelligent-environments-lab/CityLearn
Official reinforcement learning environment for demand response and load shaping
philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
NREL/reV
Renewable Energy Potential (reV) Model
georkara/Chargym-Charging-Station
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).
fneum/ev_chargingcoordination2017
Optimal Scheduling of Electric Vehicle Charging in Distribution Networks
namidairo777/Distributed-MADDPG
Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
PyPSA/pypsa-eur-sec
PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
amirrezaeian/Individual-household-electric-power-consumption-Data-Set-
Individual household electric-power consumption Data Set (LSTM) [tutorial]
IntelligentSystemsLab/ST-EVCDP
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
ebranlard/welib
Wind energy library, python and matlab tools for wind turbines analyses
spine-tools/SpineOpt.jl
A highly adaptable modelling framework for multi-energy systems
StavrosOrf/EV2Gym
A V2G Simulation Environment for large scale EV charging optimization
willzhang3/MASTER-electric_vehicle_charging_recommendation
mesmo-dev/mesmo
MESMO - Multi-Energy System Modeling and Optimization
SajjadAsefi/RenewableEnergyManagement
Renewable Energy Management and Demand Response and by PSO Algorithm (Matlab code)
FZJ-IEK3-VSA/RESKit
A toolkit to help generate renewable energy generation time-series for energy systems analysis
ahilbers/renewable_test_PSMs
Test power (energy) system models for time series & renewable energy analysis, with a tutorial
pielube/MESSpy
Multi-Energy System Simulator - Python version
AceBBang/PV-forecasting-data
the meteorological data and power generation data of one PV power station used in Ultra-short-term Forecasting of Photovoltaic Power via RBF Neural Network
Upsilon-Lab/renewable-energy
couralex6/kinney
Real-time campus microgrid management for solar, EVs, HVAC, etc.
dgusain1/energysim
Cosimulation based tool for multi-energy system analysis
UOH-NEOM/Source-Code
Renewable Energy Resources Management based on Weather Forecasting