Physics-Guided Deep Neural Networks for Power Flow Analysis

Physics-Guided Deep Neural Networks for Power Flow Analysis

31 January 2020

Haoji Hu

Papers citing "Physics-Guided Deep Neural Networks for Power Flow Analysis"

5 / 5 papers shown

Title
Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes Daniel Glover Parikshit Pareek Deepjyoti Deka Anamika Dubey 46 0 0 30 Apr 2025
MODL: Multilearner Online Deep Learning Antonios Valkanas Boris N. Oreshkin Mark J. Coates 34 1 0 28 May 2024
Contingency Analyses with Warm Starter using Probabilistic Graphical Model Shimiao Li Amritanshu Pandey L. Pileggi AI4CE 18 2 0 10 Apr 2023
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints Luis Bottcher Hinrikus Wolf Bastian Jung Philipp Lutat M. Trageser Oliver Pohl Andreas Ulbig Martin Grohe 13 10 0 14 Apr 2022
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment Alyssa Kody Samuel C. Chevalier Spyros Chatzivasileiadis Daniel Molzahn 62 37 0 21 Oct 2021