Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2004.07757
Cited By
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Gaussian Process Learning-based Probabilistic Optimal Power Flow"
5 / 5 papers shown
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
Parikshit Pareek
Sidhant Misra
Sidhant Misra
257
2
0
15 Aug 2023
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
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
Parikshit Pareek
Chuan Wang
H. Nguyen
254
8
0
08 Nov 2019
1
Page 1 of 1