Projects
Reading
People
Chat
SU\G
(𝔸)
/K·U
Projects
Reading
People
Chat
Sign Up
Light
Dark
System
Stochastic AC Optimal Power Flow: A Data-Driven Approach
Ilyès Mezghani
,
Sidhant Misra
,
Deepjyoti Deka
Type:
Preprint
Publication Date:
2019-10-21
Citations:
2
View Publication
Share
Locations
arXiv (Cornell University) -
View
Similar Works
Action
Title
Year
Authors
+
Stochastic AC Optimal Power Flow: A Data-Driven Approach
2019
Ilyès Mezghani
Sidhant Misra
Deepjyoti Deka
+
PDF
Chat
Stochastic AC optimal power flow: A data-driven approach
2020
Ilyès Mezghani
Sidhant Misra
Deepjyoti Deka
+
PDF
Chat
Data-Driven Stochastic AC-OPF using Gaussian Processes
2024
Mile Mitrovic
+
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes
2022
Mile Mitrovic
Aleksandr Lukashevich
Petr Vorobev
Vladimir Terzija
Yury Maximov
Deepjyoti Deka
+
Importance Sampling Approach for Dynamic Stochastic Optimal Power Flow Control
2023
Aleksandr Lukashevich
Aleksander Bulkin
Roland Grinis
Ilya Makarov
Yury Maximov
+
PDF
Chat
Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow
2023
Aleksandr Lukashevich
В. В. Горчаков
Petr Vorobev
Deepjyoti Deka
Yury Maximov
+
Importance sampling approach to chance-constrained DC optimal power flow
2021
Aleksandr Lukashevich
В. В. Горчаков
Petr Vorobev
Deepjyoti Deka
Yury Maximov
+
Data-Driven Stochastic AC-OPF using Gaussian Processes
2022
Mile Mitrovic
Aleksandr Lukashevich
Petr Vorobev
Vladimir Terzija
Semen Budenny
Yury Maximov
Deepjoyti Deka
+
Chance-Constrained AC Optimal Power Flow: Reformulations and Efficient Algorithms
2017
Line Roald
Göran Andersson
+
Chance-Constrained AC Optimal Power Flow: Reformulations and Efficient Algorithms
2017
Line Roald
Göran Andersson
+
Cloud-AC-OPF: Model Reduction Technique for Multi-Scenario Optimal Power Flow via Chance-Constrained Optimization
2019
Vladimir Frolov
Line Roald
Michael Chertkov
+
Cloud-AC-OPF: Model Reduction Technique for Multi-Scenario Optimal Power Flow via Chance-Constrained Optimization
2019
Vladimir Frolov
Line Roald
Michael Chertkov
+
PDF
Chat
Cloud-AC-OPF: Model Reduction Technique for Multi-Scenario Optimal Power Flow via Chance-Constrained Optimization
2019
Vladimir Frolov
Line Roald
Michael Chertkov
+
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition
2022
Ignacio Aravena
Daniel K. Molzahn
Shixuan Zhang
Cosmin G. Petra
Frank E. Curtis
Shenyinying Tu
Andreas Wächter
Ermin Wei
Elizabeth Wong
Amin Gholami
+
Variance-Aware Optimal Power Flow
2017
Daniel Bienstock
Apurv Shukla
+
PDF
Chat
Variance-Aware Optimal Power Flow
2018
Daniel Bienstock
Apurv Shukla
+
Variance-Aware Optimal Power Flow
2017
Daniel Bienstock
Apurv Shukla
+
PDF
Chat
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets
2022
Trager Joswig-Jones
Kyri Baker
Ahmed S. Zamzam
+
PDF
Chat
Data-driven stochastic optimization for power grids scheduling under high wind penetration
2021
Wei Xie
Yuan Yi
Zhi Zhou
Keqi Wang
+
PDF
Chat
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization
2018
Yi Guo
Kyri Baker
Emiliano Dall’Anese
Zechun Hu
Tyler Summers
Works That Cite This (2)
Action
Title
Year
Authors
+
PDF
Chat
Leveraging Power Grid Topology in Machine Learning Assisted Optimal Power Flow
2022
Thomas Falconer
Letif Mones
+
Deep learning architectures for inference of AC-OPF solutions
2020
Thomas Falconer
Letif Mones
Works Cited by This (0)
Action
Title
Year
Authors