Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems

4 February 2019

Papers citing "Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems"

34 / 34 papers shown

Title
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context Jianyu Xu Qiuzhuang Sun Yang Yang Huadong Mo Daoyi Dong 83 0 0 24 Feb 2025
Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer Programs Shiyuan Qu Fenglian Dong Zhiwei Wei Chao Shang 36 0 0 23 Dec 2024
Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network Mei Yang Junyong Liu Kai Liu 25 0 0 02 May 2024
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality Niki Triantafyllou M. Papathanasiou 31 4 0 17 Jan 2024
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow Seonho Park Pascal Van Hentenryck AI4CE 33 0 0 29 Nov 2023
Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning Jingtao Qin Nanpeng Yu 11 2 0 26 Nov 2023
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier Farzaneh Pourahmadi J. Kazempour 30 4 0 07 Oct 2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs Taehyun Yoon Jinwon Choi Hyokun Yun Sungbin Lim 27 0 0 01 Aug 2023
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment A. Ramesh Xingpeng Li 30 21 0 02 Jun 2023
Compact Optimization Learning for AC Optimal Power Flow Seonho Park Wenbo Chen Terrence W.K. Mak Pascal Van Hentenryck 32 17 0 21 Jan 2023
Learning to repeatedly solve routing problems Mouad Morabit G. Desaulniers Andrea Lodi 17 3 0 15 Dec 2022
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments Seonho Park Wenbo Chen Dahyeon Han Mathieu Tanneau Pascal Van Hentenryck 41 28 0 28 Nov 2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality Le Xie Tong Huang Xiangtian Zheng Yan Liu Ming Wang V. Vittal P. Kumar S. Shakkottai Yi Cui MedIm AI4CE 25 11 0 02 Nov 2022
Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations A. Ramesh Xingpeng Li 24 15 0 13 Aug 2022
Learning Optimal Solutions via an LSTM-Optimization Framework Dogacan Yilmaz I. E. Büyüktahtakin 28 10 0 06 Jul 2022
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems R. Haider Anuradha M. Annaswamy 31 2 0 11 Jun 2022
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems Jingtao Qin Yuanqi Gao Mikhail A. Bragin N. Yu 13 4 0 09 Jun 2022
Learning Regionally Decentralized AC Optimal Power Flows with ADMM Terrence W.K. Mak Minas Chatzos Mathieu Tanneau Pascal Van Hentenryck 33 27 0 08 May 2022
An attention model for the formation of collectives in real-world domains Adrià Fenoy Filippo Bistaffa Alessandro Farinelli 26 2 0 30 Apr 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 38 7 0 02 Apr 2022
A Survey for Solving Mixed Integer Programming via Machine Learning Jiayi Zhang Chang-rui Liu Junchi Yan Xijun Li Hui-Ling Zhen M. Yuan AI4CE 40 72 0 06 Mar 2022
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch Wenbo Chen Seonho Park Mathieu Tanneau Pascal Van Hentenryck 32 42 0 27 Dec 2021
Machine Learning Assisted Approach for Security-Constrained Unit Commitment A. Ramesh Xingpeng Li 20 10 0 17 Nov 2021
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends Lingying Huang Xiaomeng Chen Wei Huo Jiazheng Wang Fan Zhang Bo Bai Ling Shi 21 23 0 05 Nov 2021
Data-Driven Time Series Reconstruction for Modern Power Systems Research Minas Chatzos Mathieu Tanneau Pascal Van Hentenryck AI4TS 26 11 0 26 Oct 2021
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 58 47 0 05 Oct 2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs Nicolas Sonnerat Pengming Wang Ira Ktena Sergey Bartunov Vinod Nair 29 44 0 21 Jul 2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks M. Singh V. Kekatos G. Giannakis 19 69 0 27 Mar 2021
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning Minas Chatzos Terrence W.K. Mak Pascal Van Hentenryck AI4CE 45 38 0 17 Jan 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 127 244 0 23 Dec 2020
Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow Alexandre Velloso Pascal Van Hentenryck 12 5 0 14 Jul 2020
Learning-Accelerated ADMM for Distributed Optimal Power Flow David J. Biagioni P. Graf Xinming Zhang Ahmed S. Zamzam K. Baker J. King 11 8 0 08 Nov 2019
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location Andrea Lodi Luca Mossina Emmanuel Rachelson 19 29 0 12 Jul 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 35 786 0 10 Jun 2019