Physics-informed Graph Neural Network for Dynamic Reconfiguration of power systems

Author:

Authier JulesORCID,Haider RababORCID,Annaswamy Anuradha,Dörfler Florian

Funder

Massachusetts Institute of Technology

Publisher

Elsevier BV

Reference23 articles.

1. Network reconfiguration in distribution systems for loss reduction and load balancing;Baran;IEEE Trans. Power Deliv.,1989

2. Distribution grid reconfiguration reduces power losses and helps integrate renewables;Lueken;Energy Policy,2012

3. Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems;Haider,2023

4. Solving mixed integer programs using neural networks;Nair,2020

5. Combinatorial optimization and reasoning with graph neural networks;Cappart;J. Mach. Learn. Res.,2023

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