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Gaussian Process Learning-based Probabilistic Optimal Power Flow

Gaussian Process Learning-based Probabilistic Optimal Power Flow

IEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2020
16 April 2020
Parikshit Pareek
H. Nguyen
ArXiv (abs)PDFHTML

Papers citing "Gaussian Process Learning-based Probabilistic Optimal Power Flow"

5 / 5 papers shown
Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
Daniel Glover
Parikshit Pareek
Sidhant Misra
Anamika Dubey
222
0
0
30 Apr 2025
Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
Parikshit Pareek
Sidhant Misra
Sidhant Misra
257
2
0
15 Aug 2023
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian
  Processes
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes
Milena Mitrović
A. Lukashevich
Petr Vorobev
Vladimir Terzija
Yury Maximov
Sidhant Misra
163
1
0
30 Aug 2022
Data-Driven Stochastic AC-OPF using Gaussian Processes
Data-Driven Stochastic AC-OPF using Gaussian Processes
M. Mitrovic
A. Lukashevich
Petr Vorobev
Vladimir Terzija
S. Budenny
Yury Maximov
Deepjoyti Deka
149
4
0
21 Jul 2022
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Parikshit Pareek
Chuan Wang
H. Nguyen
254
8
0
08 Nov 2019
1
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