PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience re…

Experimental code for Newton Raphson initial value problem

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

Official implementation for the paper

Code for reproducing the case studies of "Stochastic Mobility Integration into Residential Energy Hubs" presented in the ESARS-ITEC 2024 Conference held in Naples on 26-29th of November.

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

Official reinforcement learning environment for demand response and load shaping

Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

Source code of the paper: H. Shengren, E. M. Salazar, P. P. Vergara and P. Palensky, "Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling," 2022 IEEE PES Innovative S…

Grid2Op a testbed platform to model sequential decision making in power systems.

VisualTorch aims to help visualize Torch-based neural network architectures.

A V2G Simulation Environment for large scale EV charging optimization

Solving the Traveling Salesman Problem using Self-Organizing Maps

Code repository including the code I show in the pandapower youtube tutorial videos

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

PoweFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation

Open Platform for Energy Networks

This repository provides single-phase models for IEEE 13-bus, IEEE 37-bus, and IEEE 123-bus distribution networks and calculates the load-flow via the Z-Bus method. It further demonstrates that the…

District microgrid dataset

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

EV charging demand generator

PyPSA: Python for Power System Analysis

Workshop assignments on power-grid-model: A distribution power system analysis library

Conversion tool for various grid data formats to power-grid-model

Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

Control Methods for Dynamic Systems based on Neural Networks