ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.07002
  4. Cited By
Combining Deep Learning and Optimization for Security-Constrained
  Optimal Power Flow

Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow

14 July 2020
Alexandre Velloso
Pascal Van Hentenryck
ArXiv (abs)PDFHTML

Papers citing "Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow"

3 / 3 papers shown
Near-Optimal Solutions of Constrained Learning Problems
Near-Optimal Solutions of Constrained Learning ProblemsInternational Conference on Learning Representations (ICLR), 2024
Juan Elenter
Luiz F. O. Chamon
Alejandro Ribeiro
223
9
0
18 Mar 2024
Learning Optimization Proxies for Large-Scale Security-Constrained
  Economic Dispatch
Learning Optimization Proxies for Large-Scale Security-Constrained Economic DispatchElectric power systems research (EPSR), 2021
Wenbo Chen
Seonho Park
Mathieu Tanneau
Pascal Van Hentenryck
162
53
0
27 Dec 2021
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
Spatial Network Decomposition for Fast and Scalable AC-OPF LearningIEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2021
Minas Chatzos
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
239
52
0
17 Jan 2021
1
Page 1 of 1