Master Thesis: Optimal Power Flow in Power Systems using Graph Neural Networks
☆22Jan 30, 2024Updated 2 years ago
Alternatives and similar repositories for OPFGNN
Users that are interested in OPFGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository code for Power Flow Balancing with Decentralized Graph Neural Networks☆24Feb 29, 2024Updated 2 years ago
- Attempting to solve the Optimal Power Flow problem using Graph Neural Networks☆16Nov 8, 2023Updated 2 years ago
- [IJCNN, 2022] Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System☆14Nov 9, 2023Updated 2 years ago
- ☆27May 29, 2025Updated last year
- ☆35Nov 6, 2024Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆14Mar 30, 2025Updated last year
- This repository stores the main codes for the DeepOPF projects.☆28Nov 10, 2023Updated 2 years ago
- This set of codes implements our NAPS paper "Reduced Optimal Power Flow Using Graph Neural Network". This work is under the open license:…☆14Feb 23, 2024Updated 2 years ago
- PoweFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation☆76Aug 25, 2024Updated last year
- Code for "Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity", INFORMS Journal of Comput…☆19Feb 26, 2025Updated last year
- This repository contains the code for Physics-Informed Neural Network for DC Optimal Power Flow applications and the worst case guarantee…☆30Sep 2, 2021Updated 4 years ago
- Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at…☆119May 29, 2026Updated last month
- ACOPF with Pyomo/Pypower/Ipopt☆26Mar 18, 2025Updated last year
- Optimal power flow tutorial for islanded and grid connected microgrid using OpenDSS, Pyomo, and IPOPT.☆14Mar 8, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-…☆26Jun 2, 2024Updated 2 years ago
- Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My work at NCSU for…☆14Dec 11, 2024Updated last year
- LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration☆29Mar 18, 2025Updated last year
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆68Mar 10, 2026Updated 4 months ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆36Feb 12, 2021Updated 5 years ago
- Data for eight zones in New England as used in the 2017 Global Energy Forecasting Competition (GEFCom2017).☆13Mar 7, 2020Updated 6 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆35Apr 13, 2025Updated last year
- Ultra fast power flow for scenario analysis.☆19Apr 19, 2024Updated 2 years ago
- End-to-end distributionally robust optimization☆39Apr 15, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for my master thesis on hierarchical probabilistic forecasting of smart meter time series using weather input.☆11Aug 21, 2022Updated 3 years ago
- Keras 1D Depthwise Convolutional layer☆10May 22, 2020Updated 6 years ago
- This repository hosts a PyTorch implementation for the paper 'Solving Fokker-Planck equation using deep learning '☆12Nov 27, 2020Updated 5 years ago
- Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints☆37Sep 12, 2025Updated 10 months ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆10Jul 7, 2022Updated 4 years ago
- AC Optimal Power Flow (OPF) current-voltage formulation implementation in Python using Pyomo optimization modeling.☆11Mar 22, 2023Updated 3 years ago
- This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…☆35Jul 15, 2025Updated last year
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆12Mar 14, 2024Updated 2 years ago
- Code and data for "Physics-Guided Deep Neural Networks for Power Flow Analysis"☆19Nov 15, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is im…☆15Feb 15, 2022Updated 4 years ago
- Code implementation of “Flexible Coordination of Wind Generators and Energy Storages in joint Energy and Frequency Regulation Market“☆11Sep 26, 2023Updated 2 years ago
- GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)☆16Mar 8, 2023Updated 3 years ago
- Python 3 supported version for DySAT☆13Mar 24, 2023Updated 3 years ago
- This set of codes implements our TSG paper "Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery …☆11Feb 24, 2025Updated last year
- Minimizing Carbon Emission during EV Charging☆15Jul 1, 2022Updated 4 years ago
- Reinforcement Learning for Energy Imbalance Management using Voltage Control on TCLs☆12Jan 4, 2020Updated 6 years ago