Data-Driven Time Series Reconstruction for Modern Power Systems Research

26 October 2021

Papers citing "Data-Driven Time Series Reconstruction for Modern Power Systems Research"

6 / 6 papers shown

Title
Compact Optimization Learning for AC Optimal Power Flow Seonho Park Wenbo Chen Terrence W.K. Mak Pascal Van Hentenryck 7 16 0 21 Jan 2023
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments Seonho Park Wenbo Chen Dahyeon Han Mathieu Tanneau Pascal Van Hentenryck 20 27 0 28 Nov 2022
Just-In-Time Learning for Operational Risk Assessment in Power Grids Oliver Stover Pranav M. Karve S. Mahadevan Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 11 3 0 26 Sep 2022
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 19 7 0 02 Apr 2022
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch Wenbo Chen Seonho Park Mathieu Tanneau Pascal Van Hentenryck 11 42 0 27 Dec 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 76 198 0 19 Sep 2019