Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods

19 September 2019

Papers citing "Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods"

9 / 9 papers shown

Title
Generative Edge Detection with Stable Diffusion Caixia Zhou Yaping Huang Mochu Xiang Jiahui Ren Haibin Ling Jing Zhang 23 0 0 04 Oct 2024
Dual Interior Point Optimization Learning Michael Klamkin Mathieu Tanneau Pascal Van Hentenryck 8 2 0 04 Feb 2024
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework Mitchell Keegan Mahdi Abolghasemi 44 0 0 06 Dec 2023
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks Chen Li Alexander Kies Kai Zhou Markus Schlott O. Sayed Mariia Bilousova Horst Stoecker 6 4 0 23 Nov 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 19 3 0 22 Nov 2023
Risk-Aware Control and Optimization for High-Renewable Power Grids Neil Barry Minas Chatzos Wenbo Chen Dahye Han Chao-Ming Huang ... Mathieu Tanneau Pascal Van Hentenryck Shangkun Wang Hanyu Zhang Haoruo Zhao 17 7 0 02 Apr 2022
Data-Driven Time Series Reconstruction for Modern Power Systems Research Minas Chatzos Mathieu Tanneau Pascal Van Hentenryck AI4TS 6 11 0 26 Oct 2021
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 12 152 0 09 Oct 2021
Physics-Informed Neural Networks for AC Optimal Power Flow Rahul Nellikkath Spyros Chatzivasileiadis PINN 20 87 0 06 Oct 2021