High-Fidelity Machine Learning Approximations of Large-Scale Optimal
Power Flow

High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow

29 June 2020

Ferdinando Fioretto

Terrence W.K. Mak

Pascal Van Hentenryck

Papers citing "High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow"

6 / 6 papers shown

Title
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow Ahmed S. Zamzam K. Baker 24 170 0 27 Sep 2019
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 109 201 0 19 Sep 2019
LEAP nets for power grid perturbations Benjamin Donnot Balthazar Donon Isabelle M Guyon Zhengying Liu Antoine Marot P. Panciatici Marc Schoenauer 22 11 0 22 Aug 2019
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach Yan Yang Zhifang Yang Juan Yu Baosen Zhang 33 96 0 14 Jun 2019
Deep Learning for Power System Security Assessment José-María Hidalgo-Arteaga Fiodar Hancharou Florian Thams Spyros Chatzivasileiadis 23 44 0 31 Mar 2019
NESTA, The NICTA Energy System Test Case Archive Carleton Coffrin D. Gordon P. Scott 31 165 0 03 Nov 2014