Neural Networks for Encoding Dynamic Security-Constrained Optimal Power
Flow

Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow

17 March 2020

Daniel Timon Viola

George S. Misyris

Spyros Chatzivasileiadis

Papers citing "Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow"

16 / 16 papers shown

Title
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment Muhy Eddin Za'ter Amir Sajad B. Hodge 21 0 0 09 May 2025
Optimization Over Trained Neural Networks: Taking a Relaxing Walk Jiatai Tong Junyang Cai Thiago Serra 65 6 0 07 Jan 2024
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks Fabian Badilla Marcos Goycoolea Gonzalo Muñoz Thiago Serra 57 7 0 27 Dec 2023
Neur2RO: Neural Two-Stage Robust Optimization Franccois Hélénon J. Huber F. B. Amar Stéphane Doncieux 24 3 0 06 Oct 2023
Global Performance Guarantees for Neural Network Models of AC Power Flow Samuel C. Chevalier Spyros Chatzivasileiadis 10 6 0 14 Nov 2022
Machine Learning for Improved Gas Network Models in Coordinated Energy Systems Adriano Arrigo Mihály Dolányi K. Bruninx J. Toubeau 14 0 0 26 Sep 2022
Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach V. Dvorkin Samuel C. Chevalier Spyros Chatzivasileiadis GNN 13 0 0 18 Sep 2022
Neur2SP: Neural Two-Stage Stochastic Programming Justin Dumouchelle R. Patel Elias Boutros Khalil Merve Bodur 56 27 0 20 May 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems Jochen Stiasny Samuel C. Chevalier Rahul Nellikkath Brynjar Sævarsson Spyros Chatzivasileiadis 29 14 0 14 Mar 2022
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch Wenbo Chen Seonho Park Mathieu Tanneau Pascal Van Hentenryck 29 42 0 27 Dec 2021
Mixed-Integer Optimization with Constraint Learning Donato Maragno H. Wiberg Dimitris Bertsimas Ş. Birbil D. Hertog Adejuyigbe O. Fajemisin 59 50 0 04 Nov 2021
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment Alyssa Kody Samuel C. Chevalier Spyros Chatzivasileiadis Daniel Molzahn 64 37 0 21 Oct 2021
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 58 46 0 05 Oct 2021
Data-driven Small-signal Modeling for Converter-based Power Systems F. Rossi E. Prieto‐Araujo M. Cheah‐Mane O. Gomis‐Bellmunt 6 0 0 30 Aug 2021
Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding Qingchun Hou Ning Zhang D. Kirschen Ershun Du Yaohua Cheng C. Kang 8 26 0 20 Apr 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 81 199 0 19 Sep 2019