Stars
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 …
A Reinforcement Learning-based Volt-VAR Control Dataset
RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoration (CLR) problem.
A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.
Benders decomposition with two subproblem | Integer programming
Distributed Optimization: Analysis and Synthesis via Circuits
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Tutorial material on the scientific Python ecosystem
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Performance experiment - Pyomo vs JuMP
distribution network reconfiguration using spanning trees and Distflow
Repository containing supplementary data and code for "Unit Commitment with N-1 Security and Wind Uncertainty"
dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
Distributed Optimal Power Flow for Radial Networks via Message Passing Interface (MPI)
Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
cvxgrp / cvxpy
Forked from cvxpy/cvxpyA Python-embedded modeling language for convex optimization problems.
Implements the alternating direction method of multipliers and it's faster variants in python to optimize a quadratic program
Examples/code for the alternating direction method of multipliers (ADMM)
This code is released for the implementation of ADMM for the training of deep sigmoid nets.
Projected gradient descent algorithm (PGD) for the "Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources" paper
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step