Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow

27 September 2019

Papers citing "Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow"

36 / 36 papers shown

Title
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees Hoang T. Nguyen Priya L. Donti 30 0 0 31 May 2025
Self-Supervised Penalty-Based Learning for Robust Constrained Optimization Wyame Benslimane Paul Grigas 72 0 0 07 Mar 2025
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming Xiucheng Wang Xuan Zhao Nan Cheng 77 0 0 29 Jan 2025
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow S. Pineda Juan Pérez-Ruiz J. Morales AI4CE 121 0 0 28 Jan 2025
Generative Edge Detection with Stable Diffusion Caixia Zhou Yaping Huang Mochu Xiang Jiahui Ren Haibin Ling Jing Zhang 107 4 0 04 Oct 2024
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning Shimiao Li Ján Drgoňa S. Abhyankar L. Pileggi AI4CE 60 0 0 21 Apr 2023
Global Performance Guarantees for Neural Network Models of AC Power Flow Samuel C. Chevalier Spyros Chatzivasileiadis 35 6 0 14 Nov 2022
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes Milena Mitrović A. Lukashevich Petr Vorobev Vladimir Terzija Yury Maximov Deepjyoti Deka 55 1 0 30 Aug 2022
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 81 51 0 18 Aug 2022
Data-Driven Stochastic AC-OPF using Gaussian Processes M. Mitrovic A. Lukashevich Petr Vorobev Vladimir Terzija S. Budenny Yury Maximov Deepjoyti Deka 71 4 0 21 Jul 2022
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions Shaohui Liu Chengyang Wu Hao Zhu 97 49 0 16 May 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch Wenbo Chen Seonho Park Mathieu Tanneau Pascal Van Hentenryck 74 45 0 27 Dec 2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems Tianyu Zhao Xiang Pan Minghua Chen S. Low 86 10 0 15 Dec 2021
DNN-based Policies for Stochastic AC OPF Sarthak Gupta Sidhant Misra Deepjyoti Deka V. Kekatos 74 14 0 04 Dec 2021
Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions M. H. Dinh Ferdinando Fioretto M. Mohammadian K. Baker 26 1 0 22 Nov 2021
Power Flow Balancing with Decentralized Graph Neural Networks Jonas Berg Hansen S. N. Anfinsen F. Bianchi 63 34 0 03 Nov 2021
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets Trager Joswig-Jones K. Baker Ahmed S. Zamzam 52 29 0 01 Nov 2021
Data-Driven Time Series Reconstruction for Modern Power Systems Research Minas Chatzos Mathieu Tanneau Pascal Van Hentenryck AI4TS 52 12 0 26 Oct 2021
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach Ling Zhang Baosen Zhang 50 10 0 04 Oct 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 53 49 0 01 Oct 2021
Neural Predictive Control for the Optimization of Smart Grid Flexibility Schedules S. D. Jongh Sina Steinle Anna Hlawatsch F. Mueller M. Suriyah T. Leibfried 32 1 0 19 Aug 2021
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow Rahul Nellikkath Spyros Chatzivasileiadis PINN 95 33 0 28 Jun 2021
Graph Neural Networks for Learning Real-Time Prices in Electricity Market Shaohui Liu Chengyang Wu Hao Zhu 66 10 0 19 Jun 2021
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization Bingqing Chen Neural Network Kyri Baker J. Zico Kolter Mario Berges 88 61 0 19 May 2021
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach Sarthak Gupta V. Kekatos Ming Jin 74 21 0 02 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 89 196 0 25 Apr 2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks M. Singh V. Kekatos G. Giannakis 53 74 0 27 Mar 2021
DeepOPF-V: Solving AC-OPF Problems Efficiently Wanjun Huang Xiang Pan Minghua Chen S. Low 68 67 0 22 Mar 2021
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning Minas Chatzos Terrence W.K. Mak Pascal Van Hentenryck AI4CE 85 40 0 17 Jan 2021
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings Henning Lange Bingqing Chen Mario Berges S. Kar 45 6 0 16 Dec 2020
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation Wenqian Dong Zhen Xie Gokcen Kestor Dong Li 68 47 0 26 Aug 2020
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow Minas Chatzos Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 66 29 0 29 Jun 2020
Learning-Accelerated ADMM for Distributed Optimal Power Flow David J. Biagioni P. Graf Xinming Zhang Ahmed S. Zamzam K. Baker J. King 57 8 0 08 Nov 2019
A Statistical Learning Approach to Reactive Power Control in Distribution Systems Qiuling Yang A. Sadeghi Gang Wang G. Giannakis Jian Sun 28 0 0 25 Oct 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 110 815 0 10 Jun 2019